Hugging Face's logo

dartags
/
DanbotNL-2408-260M

Transformers
Safetensors
Japanese
English
danbot_nl
pretraining
custom_code
Model card Files
xet
Community
1
p1atdev commited on
Commit
a74282b
·
verified ·
1 Parent(s): ce0d686

Upload processor

Browse files
Files changed (11) hide show
  1. README.md +199 -0
  2. chat_template.json +3 -0
  3. decoder_tokenizer/special_tokens_map.json +44 -0
  4. decoder_tokenizer/tokenizer.json +0 -0
  5. decoder_tokenizer/tokenizer_config.json +1129 -0
  6. encoder_tokenizer/special_tokens_map.json +51 -0
  7. encoder_tokenizer/tokenizer.json +0 -0
  8. encoder_tokenizer/tokenizer.model +3 -0
  9. encoder_tokenizer/tokenizer_config.json +175 -0
  10. processor_config.json +7 -0
  11. processor_danbot_nl.py +295 -0
README.md ADDED
@@ -0,0 +1,199 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags: []
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "<|bos|><|aspect_ratio:{{ aspect_ratio }}|><|rating:{{ rating }}|><|length:{{ length }}|><text><|text|></text><|translate:{{ translate_mode }}|><|input_end|><copyright>{% if copyright|default(\"\") != \"\" %} {{ copyright }}</copyright> <character> {% if character|default(\"\") != \"\" %} {{ character }}</character> <general> <translation> {% if translation|default(\"\") != \"\" %} {{ translation }}</translation> <extension> {% endif %} {% endif %}{% endif %}"
3
+ }
decoder_tokenizer/special_tokens_map.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|bos|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|eos|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "mask_token": {
17
+ "content": "<|mask|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "pad_token": {
24
+ "content": "<|pad|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "sep_token": {
31
+ "content": "<|sep|>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "unk_token": {
38
+ "content": "<|unk|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ }
44
+ }
decoder_tokenizer/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
decoder_tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,1129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<|bos|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<|eos|>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "<|pad|>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "<|unk|>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "<|sep|>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "5": {
44
+ "content": "<|mask|>",
45
+ "lstrip": false,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ },
51
+ "6": {
52
+ "content": "<rating>",
53
+ "lstrip": false,
54
+ "normalized": false,
55
+ "rstrip": false,
56
+ "single_word": false,
57
+ "special": true
58
+ },
59
+ "7": {
60
+ "content": "</rating>",
61
+ "lstrip": false,
62
+ "normalized": false,
63
+ "rstrip": false,
64
+ "single_word": false,
65
+ "special": true
66
+ },
67
+ "8": {
68
+ "content": "<general>",
69
+ "lstrip": false,
70
+ "normalized": false,
71
+ "rstrip": false,
72
+ "single_word": false,
73
+ "special": true
74
+ },
75
+ "9": {
76
+ "content": "</general>",
77
+ "lstrip": false,
78
+ "normalized": false,
79
+ "rstrip": false,
80
+ "single_word": false,
81
+ "special": true
82
+ },
83
+ "10": {
84
+ "content": "<character>",
85
+ "lstrip": false,
86
+ "normalized": false,
87
+ "rstrip": false,
88
+ "single_word": false,
89
+ "special": true
90
+ },
91
+ "11": {
92
+ "content": "</character>",
93
+ "lstrip": false,
94
+ "normalized": false,
95
+ "rstrip": false,
96
+ "single_word": false,
97
+ "special": true
98
+ },
99
+ "12": {
100
+ "content": "<copyright>",
101
+ "lstrip": false,
102
+ "normalized": false,
103
+ "rstrip": false,
104
+ "single_word": false,
105
+ "special": true
106
+ },
107
+ "13": {
108
+ "content": "</copyright>",
109
+ "lstrip": false,
110
+ "normalized": false,
111
+ "rstrip": false,
112
+ "single_word": false,
113
+ "special": true
114
+ },
115
+ "14": {
116
+ "content": "<meta>",
117
+ "lstrip": false,
118
+ "normalized": false,
119
+ "rstrip": false,
120
+ "single_word": false,
121
+ "special": true
122
+ },
123
+ "15": {
124
+ "content": "</meta>",
125
+ "lstrip": false,
126
+ "normalized": false,
127
+ "rstrip": false,
128
+ "single_word": false,
129
+ "special": true
130
+ },
131
+ "16": {
132
+ "content": "<|rating:sfw|>",
133
+ "lstrip": false,
134
+ "normalized": false,
135
+ "rstrip": false,
136
+ "single_word": false,
137
+ "special": true
138
+ },
139
+ "17": {
140
+ "content": "<|rating:nsfw|>",
141
+ "lstrip": false,
142
+ "normalized": false,
143
+ "rstrip": false,
144
+ "single_word": false,
145
+ "special": true
146
+ },
147
+ "18": {
148
+ "content": "<|rating:general|>",
149
+ "lstrip": false,
150
+ "normalized": false,
151
+ "rstrip": false,
152
+ "single_word": false,
153
+ "special": true
154
+ },
155
+ "19": {
156
+ "content": "<|rating:sensitive|>",
157
+ "lstrip": false,
158
+ "normalized": false,
159
+ "rstrip": false,
160
+ "single_word": false,
161
+ "special": true
162
+ },
163
+ "20": {
164
+ "content": "<|rating:questionable|>",
165
+ "lstrip": false,
166
+ "normalized": false,
167
+ "rstrip": false,
168
+ "single_word": false,
169
+ "special": true
170
+ },
171
+ "21": {
172
+ "content": "<|rating:explicit|>",
173
+ "lstrip": false,
174
+ "normalized": false,
175
+ "rstrip": false,
176
+ "single_word": false,
177
+ "special": true
178
+ },
179
+ "22": {
180
+ "content": "<|quality:best|>",
181
+ "lstrip": false,
182
+ "normalized": false,
183
+ "rstrip": false,
184
+ "single_word": false,
185
+ "special": true
186
+ },
187
+ "23": {
188
+ "content": "<|quality:high|>",
189
+ "lstrip": false,
190
+ "normalized": false,
191
+ "rstrip": false,
192
+ "single_word": false,
193
+ "special": true
194
+ },
195
+ "24": {
196
+ "content": "<|quality:normal|>",
197
+ "lstrip": false,
198
+ "normalized": false,
199
+ "rstrip": false,
200
+ "single_word": false,
201
+ "special": true
202
+ },
203
+ "25": {
204
+ "content": "<|quality:low|>",
205
+ "lstrip": false,
206
+ "normalized": false,
207
+ "rstrip": false,
208
+ "single_word": false,
209
+ "special": true
210
+ },
211
+ "26": {
212
+ "content": "<|quality:worst|>",
213
+ "lstrip": false,
214
+ "normalized": false,
215
+ "rstrip": false,
216
+ "single_word": false,
217
+ "special": true
218
+ },
219
+ "27": {
220
+ "content": "<|length:very_short|>",
221
+ "lstrip": false,
222
+ "normalized": false,
223
+ "rstrip": false,
224
+ "single_word": false,
225
+ "special": true
226
+ },
227
+ "28": {
228
+ "content": "<|length:short|>",
229
+ "lstrip": false,
230
+ "normalized": false,
231
+ "rstrip": false,
232
+ "single_word": false,
233
+ "special": true
234
+ },
235
+ "29": {
236
+ "content": "<|length:medium|>",
237
+ "lstrip": false,
238
+ "normalized": false,
239
+ "rstrip": false,
240
+ "single_word": false,
241
+ "special": true
242
+ },
243
+ "30": {
244
+ "content": "<|length:long|>",
245
+ "lstrip": false,
246
+ "normalized": false,
247
+ "rstrip": false,
248
+ "single_word": false,
249
+ "special": true
250
+ },
251
+ "31": {
252
+ "content": "<|length:very_long|>",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "32": {
260
+ "content": "<|aspect_ratio:too_tall|>",
261
+ "lstrip": false,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "33": {
268
+ "content": "<|aspect_ratio:tall_wallpaper|>",
269
+ "lstrip": false,
270
+ "normalized": false,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": true
274
+ },
275
+ "34": {
276
+ "content": "<|aspect_ratio:tall|>",
277
+ "lstrip": false,
278
+ "normalized": false,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": true
282
+ },
283
+ "35": {
284
+ "content": "<|aspect_ratio:square|>",
285
+ "lstrip": false,
286
+ "normalized": false,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": true
290
+ },
291
+ "36": {
292
+ "content": "<|aspect_ratio:wide|>",
293
+ "lstrip": false,
294
+ "normalized": false,
295
+ "rstrip": false,
296
+ "single_word": false,
297
+ "special": true
298
+ },
299
+ "37": {
300
+ "content": "<|aspect_ratio:wide_wallpaper|>",
301
+ "lstrip": false,
302
+ "normalized": false,
303
+ "rstrip": false,
304
+ "single_word": false,
305
+ "special": true
306
+ },
307
+ "38": {
308
+ "content": "<|aspect_ratio:too_wide|>",
309
+ "lstrip": false,
310
+ "normalized": false,
311
+ "rstrip": false,
312
+ "single_word": false,
313
+ "special": true
314
+ },
315
+ "39": {
316
+ "content": "<|input_start|>",
317
+ "lstrip": false,
318
+ "normalized": false,
319
+ "rstrip": false,
320
+ "single_word": false,
321
+ "special": true
322
+ },
323
+ "40": {
324
+ "content": "<|input_end|>",
325
+ "lstrip": false,
326
+ "normalized": false,
327
+ "rstrip": false,
328
+ "single_word": false,
329
+ "special": true
330
+ },
331
+ "41": {
332
+ "content": "<group>",
333
+ "lstrip": false,
334
+ "normalized": false,
335
+ "rstrip": false,
336
+ "single_word": false,
337
+ "special": true
338
+ },
339
+ "42": {
340
+ "content": "</group>",
341
+ "lstrip": false,
342
+ "normalized": false,
343
+ "rstrip": false,
344
+ "single_word": false,
345
+ "special": true
346
+ },
347
+ "43": {
348
+ "content": "<example>",
349
+ "lstrip": false,
350
+ "normalized": false,
351
+ "rstrip": false,
352
+ "single_word": false,
353
+ "special": true
354
+ },
355
+ "44": {
356
+ "content": "</example>",
357
+ "lstrip": false,
358
+ "normalized": false,
359
+ "rstrip": false,
360
+ "single_word": false,
361
+ "special": true
362
+ },
363
+ "45": {
364
+ "content": "<ban>",
365
+ "lstrip": false,
366
+ "normalized": false,
367
+ "rstrip": false,
368
+ "single_word": false,
369
+ "special": true
370
+ },
371
+ "46": {
372
+ "content": "</ban>",
373
+ "lstrip": false,
374
+ "normalized": false,
375
+ "rstrip": false,
376
+ "single_word": false,
377
+ "special": true
378
+ },
379
+ "47": {
380
+ "content": "<use>",
381
+ "lstrip": false,
382
+ "normalized": false,
383
+ "rstrip": false,
384
+ "single_word": false,
385
+ "special": true
386
+ },
387
+ "48": {
388
+ "content": "</use>",
389
+ "lstrip": false,
390
+ "normalized": false,
391
+ "rstrip": false,
392
+ "single_word": false,
393
+ "special": true
394
+ },
395
+ "49": {
396
+ "content": "<|keep_identity|>",
397
+ "lstrip": false,
398
+ "normalized": false,
399
+ "rstrip": false,
400
+ "single_word": false,
401
+ "special": true
402
+ },
403
+ "50": {
404
+ "content": "<|identity:none|>",
405
+ "lstrip": false,
406
+ "normalized": false,
407
+ "rstrip": false,
408
+ "single_word": false,
409
+ "special": true
410
+ },
411
+ "51": {
412
+ "content": "<|identity:lax|>",
413
+ "lstrip": false,
414
+ "normalized": false,
415
+ "rstrip": false,
416
+ "single_word": false,
417
+ "special": true
418
+ },
419
+ "52": {
420
+ "content": "<|identity:strict|>",
421
+ "lstrip": false,
422
+ "normalized": false,
423
+ "rstrip": false,
424
+ "single_word": false,
425
+ "special": true
426
+ },
427
+ "53": {
428
+ "content": "<image>",
429
+ "lstrip": false,
430
+ "normalized": false,
431
+ "rstrip": false,
432
+ "single_word": false,
433
+ "special": true
434
+ },
435
+ "54": {
436
+ "content": "<|image|>",
437
+ "lstrip": false,
438
+ "normalized": false,
439
+ "rstrip": false,
440
+ "single_word": false,
441
+ "special": true
442
+ },
443
+ "55": {
444
+ "content": "</image>",
445
+ "lstrip": false,
446
+ "normalized": false,
447
+ "rstrip": false,
448
+ "single_word": false,
449
+ "special": true
450
+ },
451
+ "56": {
452
+ "content": "<lineart>",
453
+ "lstrip": false,
454
+ "normalized": false,
455
+ "rstrip": false,
456
+ "single_word": false,
457
+ "special": true
458
+ },
459
+ "57": {
460
+ "content": "<|lineart|>",
461
+ "lstrip": false,
462
+ "normalized": false,
463
+ "rstrip": false,
464
+ "single_word": false,
465
+ "special": true
466
+ },
467
+ "58": {
468
+ "content": "</lineart>",
469
+ "lstrip": false,
470
+ "normalized": false,
471
+ "rstrip": false,
472
+ "single_word": false,
473
+ "special": true
474
+ },
475
+ "59": {
476
+ "content": "<natural>",
477
+ "lstrip": false,
478
+ "normalized": false,
479
+ "rstrip": false,
480
+ "single_word": false,
481
+ "special": true
482
+ },
483
+ "60": {
484
+ "content": "<|natural|>",
485
+ "lstrip": false,
486
+ "normalized": false,
487
+ "rstrip": false,
488
+ "single_word": false,
489
+ "special": true
490
+ },
491
+ "61": {
492
+ "content": "</natural>",
493
+ "lstrip": false,
494
+ "normalized": false,
495
+ "rstrip": false,
496
+ "single_word": false,
497
+ "special": true
498
+ },
499
+ "62": {
500
+ "content": "<tagger>",
501
+ "lstrip": false,
502
+ "normalized": false,
503
+ "rstrip": false,
504
+ "single_word": false,
505
+ "special": true
506
+ },
507
+ "63": {
508
+ "content": "<|tagger|>",
509
+ "lstrip": false,
510
+ "normalized": false,
511
+ "rstrip": false,
512
+ "single_word": false,
513
+ "special": true
514
+ },
515
+ "64": {
516
+ "content": "</tagger>",
517
+ "lstrip": false,
518
+ "normalized": false,
519
+ "rstrip": false,
520
+ "single_word": false,
521
+ "special": true
522
+ },
523
+ "65": {
524
+ "content": "<projection>",
525
+ "lstrip": false,
526
+ "normalized": false,
527
+ "rstrip": false,
528
+ "single_word": false,
529
+ "special": true
530
+ },
531
+ "66": {
532
+ "content": "<|projection|>",
533
+ "lstrip": false,
534
+ "normalized": false,
535
+ "rstrip": false,
536
+ "single_word": false,
537
+ "special": true
538
+ },
539
+ "67": {
540
+ "content": "</projection>",
541
+ "lstrip": false,
542
+ "normalized": false,
543
+ "rstrip": false,
544
+ "single_word": false,
545
+ "special": true
546
+ },
547
+ "68": {
548
+ "content": "<describe>",
549
+ "lstrip": false,
550
+ "normalized": false,
551
+ "rstrip": false,
552
+ "single_word": false,
553
+ "special": true
554
+ },
555
+ "69": {
556
+ "content": "<|describe|>",
557
+ "lstrip": false,
558
+ "normalized": false,
559
+ "rstrip": false,
560
+ "single_word": false,
561
+ "special": true
562
+ },
563
+ "70": {
564
+ "content": "</describe>",
565
+ "lstrip": false,
566
+ "normalized": false,
567
+ "rstrip": false,
568
+ "single_word": false,
569
+ "special": true
570
+ },
571
+ "71": {
572
+ "content": "<|translate:exact|>",
573
+ "lstrip": false,
574
+ "normalized": false,
575
+ "rstrip": false,
576
+ "single_word": false,
577
+ "special": true
578
+ },
579
+ "72": {
580
+ "content": "<|translate:approx|>",
581
+ "lstrip": false,
582
+ "normalized": false,
583
+ "rstrip": false,
584
+ "single_word": false,
585
+ "special": true
586
+ },
587
+ "73": {
588
+ "content": "<|translate:creative|>",
589
+ "lstrip": false,
590
+ "normalized": false,
591
+ "rstrip": false,
592
+ "single_word": false,
593
+ "special": true
594
+ },
595
+ "74": {
596
+ "content": "<|reserved_0|>",
597
+ "lstrip": false,
598
+ "normalized": false,
599
+ "rstrip": false,
600
+ "single_word": false,
601
+ "special": true
602
+ },
603
+ "75": {
604
+ "content": "<|reserved_1|>",
605
+ "lstrip": false,
606
+ "normalized": false,
607
+ "rstrip": false,
608
+ "single_word": false,
609
+ "special": true
610
+ },
611
+ "76": {
612
+ "content": "<text>",
613
+ "lstrip": false,
614
+ "normalized": false,
615
+ "rstrip": false,
616
+ "single_word": false,
617
+ "special": true
618
+ },
619
+ "77": {
620
+ "content": "<|text|>",
621
+ "lstrip": false,
622
+ "normalized": false,
623
+ "rstrip": false,
624
+ "single_word": false,
625
+ "special": true
626
+ },
627
+ "78": {
628
+ "content": "</text>",
629
+ "lstrip": false,
630
+ "normalized": false,
631
+ "rstrip": false,
632
+ "single_word": false,
633
+ "special": true
634
+ },
635
+ "79": {
636
+ "content": "<translation>",
637
+ "lstrip": false,
638
+ "normalized": false,
639
+ "rstrip": false,
640
+ "single_word": false,
641
+ "special": true
642
+ },
643
+ "80": {
644
+ "content": "</translation>",
645
+ "lstrip": false,
646
+ "normalized": false,
647
+ "rstrip": false,
648
+ "single_word": false,
649
+ "special": true
650
+ },
651
+ "81": {
652
+ "content": "<extension>",
653
+ "lstrip": false,
654
+ "normalized": false,
655
+ "rstrip": false,
656
+ "single_word": false,
657
+ "special": true
658
+ },
659
+ "82": {
660
+ "content": "</extension>",
661
+ "lstrip": false,
662
+ "normalized": false,
663
+ "rstrip": false,
664
+ "single_word": false,
665
+ "special": true
666
+ },
667
+ "83": {
668
+ "content": "<|reserved_9|>",
669
+ "lstrip": false,
670
+ "normalized": false,
671
+ "rstrip": false,
672
+ "single_word": false,
673
+ "special": true
674
+ },
675
+ "84": {
676
+ "content": "<|reserved_10|>",
677
+ "lstrip": false,
678
+ "normalized": false,
679
+ "rstrip": false,
680
+ "single_word": false,
681
+ "special": true
682
+ },
683
+ "85": {
684
+ "content": "<|reserved_11|>",
685
+ "lstrip": false,
686
+ "normalized": false,
687
+ "rstrip": false,
688
+ "single_word": false,
689
+ "special": true
690
+ },
691
+ "86": {
692
+ "content": "<|reserved_12|>",
693
+ "lstrip": false,
694
+ "normalized": false,
695
+ "rstrip": false,
696
+ "single_word": false,
697
+ "special": true
698
+ },
699
+ "87": {
700
+ "content": "<|reserved_13|>",
701
+ "lstrip": false,
702
+ "normalized": false,
703
+ "rstrip": false,
704
+ "single_word": false,
705
+ "special": true
706
+ },
707
+ "88": {
708
+ "content": "<|reserved_14|>",
709
+ "lstrip": false,
710
+ "normalized": false,
711
+ "rstrip": false,
712
+ "single_word": false,
713
+ "special": true
714
+ },
715
+ "89": {
716
+ "content": "<|reserved_15|>",
717
+ "lstrip": false,
718
+ "normalized": false,
719
+ "rstrip": false,
720
+ "single_word": false,
721
+ "special": true
722
+ },
723
+ "90": {
724
+ "content": "<|reserved_16|>",
725
+ "lstrip": false,
726
+ "normalized": false,
727
+ "rstrip": false,
728
+ "single_word": false,
729
+ "special": true
730
+ },
731
+ "91": {
732
+ "content": "<|reserved_17|>",
733
+ "lstrip": false,
734
+ "normalized": false,
735
+ "rstrip": false,
736
+ "single_word": false,
737
+ "special": true
738
+ },
739
+ "92": {
740
+ "content": "<|reserved_18|>",
741
+ "lstrip": false,
742
+ "normalized": false,
743
+ "rstrip": false,
744
+ "single_word": false,
745
+ "special": true
746
+ },
747
+ "93": {
748
+ "content": "<|reserved_19|>",
749
+ "lstrip": false,
750
+ "normalized": false,
751
+ "rstrip": false,
752
+ "single_word": false,
753
+ "special": true
754
+ },
755
+ "94": {
756
+ "content": "<|reserved_20|>",
757
+ "lstrip": false,
758
+ "normalized": false,
759
+ "rstrip": false,
760
+ "single_word": false,
761
+ "special": true
762
+ },
763
+ "95": {
764
+ "content": "<|reserved_21|>",
765
+ "lstrip": false,
766
+ "normalized": false,
767
+ "rstrip": false,
768
+ "single_word": false,
769
+ "special": true
770
+ },
771
+ "96": {
772
+ "content": "<|reserved_22|>",
773
+ "lstrip": false,
774
+ "normalized": false,
775
+ "rstrip": false,
776
+ "single_word": false,
777
+ "special": true
778
+ },
779
+ "97": {
780
+ "content": "<|reserved_23|>",
781
+ "lstrip": false,
782
+ "normalized": false,
783
+ "rstrip": false,
784
+ "single_word": false,
785
+ "special": true
786
+ },
787
+ "98": {
788
+ "content": "<|reserved_24|>",
789
+ "lstrip": false,
790
+ "normalized": false,
791
+ "rstrip": false,
792
+ "single_word": false,
793
+ "special": true
794
+ },
795
+ "99": {
796
+ "content": "<|reserved_25|>",
797
+ "lstrip": false,
798
+ "normalized": false,
799
+ "rstrip": false,
800
+ "single_word": false,
801
+ "special": true
802
+ },
803
+ "100": {
804
+ "content": "<|reserved_26|>",
805
+ "lstrip": false,
806
+ "normalized": false,
807
+ "rstrip": false,
808
+ "single_word": false,
809
+ "special": true
810
+ },
811
+ "101": {
812
+ "content": "<|reserved_27|>",
813
+ "lstrip": false,
814
+ "normalized": false,
815
+ "rstrip": false,
816
+ "single_word": false,
817
+ "special": true
818
+ },
819
+ "102": {
820
+ "content": "<|reserved_28|>",
821
+ "lstrip": false,
822
+ "normalized": false,
823
+ "rstrip": false,
824
+ "single_word": false,
825
+ "special": true
826
+ },
827
+ "103": {
828
+ "content": "<|reserved_29|>",
829
+ "lstrip": false,
830
+ "normalized": false,
831
+ "rstrip": false,
832
+ "single_word": false,
833
+ "special": true
834
+ },
835
+ "104": {
836
+ "content": "<|reserved_30|>",
837
+ "lstrip": false,
838
+ "normalized": false,
839
+ "rstrip": false,
840
+ "single_word": false,
841
+ "special": true
842
+ },
843
+ "105": {
844
+ "content": "<|reserved_31|>",
845
+ "lstrip": false,
846
+ "normalized": false,
847
+ "rstrip": false,
848
+ "single_word": false,
849
+ "special": true
850
+ },
851
+ "106": {
852
+ "content": "<|reserved_32|>",
853
+ "lstrip": false,
854
+ "normalized": false,
855
+ "rstrip": false,
856
+ "single_word": false,
857
+ "special": true
858
+ },
859
+ "107": {
860
+ "content": "<|reserved_33|>",
861
+ "lstrip": false,
862
+ "normalized": false,
863
+ "rstrip": false,
864
+ "single_word": false,
865
+ "special": true
866
+ },
867
+ "108": {
868
+ "content": "<|reserved_34|>",
869
+ "lstrip": false,
870
+ "normalized": false,
871
+ "rstrip": false,
872
+ "single_word": false,
873
+ "special": true
874
+ },
875
+ "109": {
876
+ "content": "<|reserved_35|>",
877
+ "lstrip": false,
878
+ "normalized": false,
879
+ "rstrip": false,
880
+ "single_word": false,
881
+ "special": true
882
+ },
883
+ "110": {
884
+ "content": "<|reserved_36|>",
885
+ "lstrip": false,
886
+ "normalized": false,
887
+ "rstrip": false,
888
+ "single_word": false,
889
+ "special": true
890
+ },
891
+ "111": {
892
+ "content": "<|reserved_37|>",
893
+ "lstrip": false,
894
+ "normalized": false,
895
+ "rstrip": false,
896
+ "single_word": false,
897
+ "special": true
898
+ },
899
+ "112": {
900
+ "content": "<|reserved_38|>",
901
+ "lstrip": false,
902
+ "normalized": false,
903
+ "rstrip": false,
904
+ "single_word": false,
905
+ "special": true
906
+ },
907
+ "113": {
908
+ "content": "<|reserved_39|>",
909
+ "lstrip": false,
910
+ "normalized": false,
911
+ "rstrip": false,
912
+ "single_word": false,
913
+ "special": true
914
+ },
915
+ "114": {
916
+ "content": "<|reserved_40|>",
917
+ "lstrip": false,
918
+ "normalized": false,
919
+ "rstrip": false,
920
+ "single_word": false,
921
+ "special": true
922
+ },
923
+ "115": {
924
+ "content": "<|reserved_41|>",
925
+ "lstrip": false,
926
+ "normalized": false,
927
+ "rstrip": false,
928
+ "single_word": false,
929
+ "special": true
930
+ },
931
+ "116": {
932
+ "content": "<|reserved_42|>",
933
+ "lstrip": false,
934
+ "normalized": false,
935
+ "rstrip": false,
936
+ "single_word": false,
937
+ "special": true
938
+ },
939
+ "117": {
940
+ "content": "<|reserved_43|>",
941
+ "lstrip": false,
942
+ "normalized": false,
943
+ "rstrip": false,
944
+ "single_word": false,
945
+ "special": true
946
+ },
947
+ "118": {
948
+ "content": "<|reserved_44|>",
949
+ "lstrip": false,
950
+ "normalized": false,
951
+ "rstrip": false,
952
+ "single_word": false,
953
+ "special": true
954
+ },
955
+ "119": {
956
+ "content": "<|reserved_45|>",
957
+ "lstrip": false,
958
+ "normalized": false,
959
+ "rstrip": false,
960
+ "single_word": false,
961
+ "special": true
962
+ },
963
+ "120": {
964
+ "content": "<|reserved_46|>",
965
+ "lstrip": false,
966
+ "normalized": false,
967
+ "rstrip": false,
968
+ "single_word": false,
969
+ "special": true
970
+ },
971
+ "121": {
972
+ "content": "<|reserved_47|>",
973
+ "lstrip": false,
974
+ "normalized": false,
975
+ "rstrip": false,
976
+ "single_word": false,
977
+ "special": true
978
+ },
979
+ "122": {
980
+ "content": "<|reserved_48|>",
981
+ "lstrip": false,
982
+ "normalized": false,
983
+ "rstrip": false,
984
+ "single_word": false,
985
+ "special": true
986
+ },
987
+ "123": {
988
+ "content": "<|reserved_49|>",
989
+ "lstrip": false,
990
+ "normalized": false,
991
+ "rstrip": false,
992
+ "single_word": false,
993
+ "special": true
994
+ },
995
+ "124": {
996
+ "content": "<|reserved_50|>",
997
+ "lstrip": false,
998
+ "normalized": false,
999
+ "rstrip": false,
1000
+ "single_word": false,
1001
+ "special": true
1002
+ },
1003
+ "125": {
1004
+ "content": "<|reserved_51|>",
1005
+ "lstrip": false,
1006
+ "normalized": false,
1007
+ "rstrip": false,
1008
+ "single_word": false,
1009
+ "special": true
1010
+ },
1011
+ "126": {
1012
+ "content": "<|reserved_52|>",
1013
+ "lstrip": false,
1014
+ "normalized": false,
1015
+ "rstrip": false,
1016
+ "single_word": false,
1017
+ "special": true
1018
+ },
1019
+ "127": {
1020
+ "content": "<|reserved_53|>",
1021
+ "lstrip": false,
1022
+ "normalized": false,
1023
+ "rstrip": false,
1024
+ "single_word": false,
1025
+ "special": true
1026
+ },
1027
+ "128": {
1028
+ "content": "<|reserved_54|>",
1029
+ "lstrip": false,
1030
+ "normalized": false,
1031
+ "rstrip": false,
1032
+ "single_word": false,
1033
+ "special": true
1034
+ },
1035
+ "129": {
1036
+ "content": "<|reserved_55|>",
1037
+ "lstrip": false,
1038
+ "normalized": false,
1039
+ "rstrip": false,
1040
+ "single_word": false,
1041
+ "special": true
1042
+ },
1043
+ "130": {
1044
+ "content": "<|reserved_56|>",
1045
+ "lstrip": false,
1046
+ "normalized": false,
1047
+ "rstrip": false,
1048
+ "single_word": false,
1049
+ "special": true
1050
+ },
1051
+ "131": {
1052
+ "content": "<|reserved_57|>",
1053
+ "lstrip": false,
1054
+ "normalized": false,
1055
+ "rstrip": false,
1056
+ "single_word": false,
1057
+ "special": true
1058
+ },
1059
+ "132": {
1060
+ "content": "<|reserved_58|>",
1061
+ "lstrip": false,
1062
+ "normalized": false,
1063
+ "rstrip": false,
1064
+ "single_word": false,
1065
+ "special": true
1066
+ },
1067
+ "133": {
1068
+ "content": "<|reserved_59|>",
1069
+ "lstrip": false,
1070
+ "normalized": false,
1071
+ "rstrip": false,
1072
+ "single_word": false,
1073
+ "special": true
1074
+ },
1075
+ "134": {
1076
+ "content": "<|reserved_60|>",
1077
+ "lstrip": false,
1078
+ "normalized": false,
1079
+ "rstrip": false,
1080
+ "single_word": false,
1081
+ "special": true
1082
+ },
1083
+ "135": {
1084
+ "content": "<|reserved_61|>",
1085
+ "lstrip": false,
1086
+ "normalized": false,
1087
+ "rstrip": false,
1088
+ "single_word": false,
1089
+ "special": true
1090
+ },
1091
+ "136": {
1092
+ "content": "<|reserved_62|>",
1093
+ "lstrip": false,
1094
+ "normalized": false,
1095
+ "rstrip": false,
1096
+ "single_word": false,
1097
+ "special": true
1098
+ },
1099
+ "137": {
1100
+ "content": "<|reserved_63|>",
1101
+ "lstrip": false,
1102
+ "normalized": false,
1103
+ "rstrip": false,
1104
+ "single_word": false,
1105
+ "special": true
1106
+ }
1107
+ },
1108
+ "auto_map": {
1109
+ "AutoProcessor": "processor_danbot_nl.DanbotNLProcessor"
1110
+ },
1111
+ "bos_token": "<|bos|>",
1112
+ "chat_template": "<|bos|><|aspect_ratio:{{ messages[\"aspect_ratio\"] }}|><|rating:{{ messages[\"rating\"] }}|><|length:{{ messages[\"length\"] }}|><text><|text|></text><|translate:{{ messages[\"translate_mode\"] }}|><|input_end|><copyright>{% if messages[\"copyright\"]|default(\"\") != \"\" %} {{ copyright }}</copyright> <character> {% if messages[\"character\"]|default(\"\") != \"\" %} {{ character }}</character> <general> <translation> {% if messages[\"translation\"]|default(\"\") != \"\" %} {{ translation }}</translation> <extension> {% endif %} {% endif %}{% endif %}",
1113
+ "clean_up_tokenization_spaces": false,
1114
+ "eos_token": "<|eos|>",
1115
+ "extra_special_tokens": {},
1116
+ "mask_token": "<|mask|>",
1117
+ "max_length": 256,
1118
+ "model_max_length": 1000000000000000019884624838656,
1119
+ "pad_to_multiple_of": null,
1120
+ "pad_token": "<|pad|>",
1121
+ "pad_token_type_id": 0,
1122
+ "padding": "max_length",
1123
+ "padding_side": "right",
1124
+ "processor_class": "DanbotNLProcessor",
1125
+ "sep_token": "<|sep|>",
1126
+ "tokenizer_class": "PreTrainedTokenizer",
1127
+ "truncation": true,
1128
+ "unk_token": "<|unk|>"
1129
+ }
encoder_tokenizer/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<cls>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "<sep>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
encoder_tokenizer/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
encoder_tokenizer/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
3
+ size 1831879
encoder_tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_dummy_prefix_space": false,
4
+ "add_eos_token": true,
5
+ "add_prefix_space": false,
6
+ "added_tokens_decoder": {
7
+ "0": {
8
+ "content": "<unk>",
9
+ "lstrip": false,
10
+ "normalized": false,
11
+ "rstrip": false,
12
+ "single_word": false,
13
+ "special": true
14
+ },
15
+ "1": {
16
+ "content": "<s>",
17
+ "lstrip": false,
18
+ "normalized": false,
19
+ "rstrip": false,
20
+ "single_word": false,
21
+ "special": true
22
+ },
23
+ "2": {
24
+ "content": "</s>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false,
29
+ "special": true
30
+ },
31
+ "3": {
32
+ "content": "<pad>",
33
+ "lstrip": false,
34
+ "normalized": false,
35
+ "rstrip": false,
36
+ "single_word": false,
37
+ "special": true
38
+ },
39
+ "4": {
40
+ "content": "<sep>",
41
+ "lstrip": false,
42
+ "normalized": false,
43
+ "rstrip": false,
44
+ "single_word": false,
45
+ "special": true
46
+ },
47
+ "5": {
48
+ "content": "<mask>",
49
+ "lstrip": false,
50
+ "normalized": false,
51
+ "rstrip": false,
52
+ "single_word": false,
53
+ "special": true
54
+ },
55
+ "6": {
56
+ "content": "<cls>",
57
+ "lstrip": false,
58
+ "normalized": false,
59
+ "rstrip": false,
60
+ "single_word": false,
61
+ "special": true
62
+ },
63
+ "7": {
64
+ "content": "<|system|>",
65
+ "lstrip": false,
66
+ "normalized": false,
67
+ "rstrip": false,
68
+ "single_word": false,
69
+ "special": false
70
+ },
71
+ "8": {
72
+ "content": "<|assistant|>",
73
+ "lstrip": false,
74
+ "normalized": false,
75
+ "rstrip": false,
76
+ "single_word": false,
77
+ "special": false
78
+ },
79
+ "9": {
80
+ "content": "<|user|>",
81
+ "lstrip": false,
82
+ "normalized": false,
83
+ "rstrip": false,
84
+ "single_word": false,
85
+ "special": false
86
+ },
87
+ "10": {
88
+ "content": "<|available_tools|>",
89
+ "lstrip": false,
90
+ "normalized": false,
91
+ "rstrip": false,
92
+ "single_word": false,
93
+ "special": false
94
+ },
95
+ "11": {
96
+ "content": "<|tool_calls|>",
97
+ "lstrip": false,
98
+ "normalized": false,
99
+ "rstrip": false,
100
+ "single_word": false,
101
+ "special": false
102
+ },
103
+ "12": {
104
+ "content": "<|tool_results|>",
105
+ "lstrip": false,
106
+ "normalized": false,
107
+ "rstrip": false,
108
+ "single_word": false,
109
+ "special": false
110
+ },
111
+ "13": {
112
+ "content": "<|code|>",
113
+ "lstrip": false,
114
+ "normalized": false,
115
+ "rstrip": false,
116
+ "single_word": false,
117
+ "special": false
118
+ },
119
+ "14": {
120
+ "content": "<|file|>",
121
+ "lstrip": false,
122
+ "normalized": false,
123
+ "rstrip": false,
124
+ "single_word": false,
125
+ "special": false
126
+ },
127
+ "102397": {
128
+ "content": "<|prefix|>",
129
+ "lstrip": false,
130
+ "normalized": false,
131
+ "rstrip": false,
132
+ "single_word": false,
133
+ "special": false
134
+ },
135
+ "102398": {
136
+ "content": "<|suffix|>",
137
+ "lstrip": false,
138
+ "normalized": false,
139
+ "rstrip": false,
140
+ "single_word": false,
141
+ "special": false
142
+ },
143
+ "102399": {
144
+ "content": "<|middle|>",
145
+ "lstrip": false,
146
+ "normalized": false,
147
+ "rstrip": false,
148
+ "single_word": false,
149
+ "special": false
150
+ }
151
+ },
152
+ "auto_map": {
153
+ "AutoProcessor": "processor_danbot_nl.DanbotNLProcessor"
154
+ },
155
+ "bos_token": "<s>",
156
+ "clean_up_tokenization_spaces": false,
157
+ "cls_token": "<cls>",
158
+ "do_lower_case": false,
159
+ "eos_token": "</s>",
160
+ "extra_ids": 0,
161
+ "extra_special_tokens": {},
162
+ "keep_accents": true,
163
+ "legacy": false,
164
+ "mask_token": "<mask>",
165
+ "model_max_length": 1000000000000000019884624838656,
166
+ "pad_token": "<pad>",
167
+ "padding_side": "right",
168
+ "processor_class": "DanbotNLProcessor",
169
+ "sep_token": "<sep>",
170
+ "sp_model_kwargs": {},
171
+ "spaces_between_special_tokens": false,
172
+ "tokenizer_class": "LlamaTokenizer",
173
+ "unk_token": "<unk>",
174
+ "use_default_system_prompt": false
175
+ }
processor_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_map": {
3
+ "AutoProcessor": "processor_danbot_nl.DanbotNLProcessor"
4
+ },
5
+ "encoder_token": "<|text|>",
6
+ "processor_class": "DanbotNLProcessor"
7
+ }
processor_danbot_nl.py ADDED
@@ -0,0 +1,295 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import json
3
+ import warnings
4
+ from pathlib import Path
5
+
6
+
7
+ import torch
8
+ import torch.nn as nn
9
+
10
+ from transformers import (
11
+ PreTrainedTokenizer,
12
+ PreTrainedTokenizerBase,
13
+ AutoTokenizer,
14
+ ProcessorMixin,
15
+ BatchFeature,
16
+ )
17
+ from transformers.utils import (
18
+ direct_transformers_import,
19
+ PROCESSOR_NAME,
20
+ CHAT_TEMPLATE_NAME,
21
+ )
22
+ from transformers.utils import logging
23
+ from transformers.dynamic_module_utils import custom_object_save
24
+
25
+ logger = logging.get_logger(__name__)
26
+
27
+ # Dynamically import the Transformers module to grab the attribute classes of the processor form their names.
28
+ transformers_module = direct_transformers_import(Path(__file__).parent)
29
+
30
+
31
+ class DanbotNLProcessorKwargs:
32
+ _defaults = {
33
+ "encoder_kwargs": {},
34
+ "decoder_kwargs": {},
35
+ }
36
+
37
+
38
+ class DanbotNLProcessor(ProcessorMixin):
39
+ attributes = ["encoder_tokenizer", "decoder_tokenizer"]
40
+ valid_kwargs = ["chat_template", "encoder_token"]
41
+ encoder_tokenizer_class = "AutoTokenizer"
42
+ decoder_tokenizer_class = "AutoTokenizer"
43
+
44
+ encoder_tokenizer: PreTrainedTokenizer
45
+ decoder_tokenizer: PreTrainedTokenizer
46
+
47
+ def __init__(
48
+ self,
49
+ encoder_tokenizer=None,
50
+ decoder_tokenizer=None,
51
+ encoder_token="<|natural|>",
52
+ chat_template=None,
53
+ **kwargs,
54
+ ):
55
+ super().__init__(
56
+ encoder_tokenizer, decoder_tokenizer, chat_template=chat_template, **kwargs
57
+ )
58
+
59
+ self.encoder_token = encoder_token
60
+ self.encoder_token_id: int = self.decoder_tokenizer.convert_tokens_to_ids(
61
+ encoder_token
62
+ )
63
+
64
+ def __call__(
65
+ self,
66
+ encoder_text: str | list[str] | None = None,
67
+ decoder_text: str | list[str] | None = None,
68
+ **kwargs,
69
+ ) -> BatchFeature:
70
+ if decoder_text is None:
71
+ raise ValueError("decoder_text is required for DanbotNLProcessor")
72
+
73
+ def _validate_text_input(text) -> str | list[str]:
74
+ if isinstance(text, list):
75
+ assert all(isinstance(t, str) for t in text), (
76
+ f"Expected list of str but got {type(text)}"
77
+ )
78
+ assert all(len(t) > 0 for t in text), "Expected non-empty strings"
79
+ else:
80
+ assert isinstance(text, str), f"Expected str but got {type(text)}"
81
+ assert len(text) > 0, "Expected non-empty string"
82
+ return text
83
+
84
+ def _normalize_text_input(text: str | list[str]) -> list[str]:
85
+ if isinstance(text, str):
86
+ return [text]
87
+ return text
88
+
89
+ _encoder_text: str | list[str] = _validate_text_input(encoder_text)
90
+ encoder_text = _normalize_text_input(_encoder_text)
91
+ _decoder_text: str | list[str] = _validate_text_input(decoder_text)
92
+ decoder_text = _normalize_text_input(_decoder_text)
93
+
94
+ encoder_output_kwargs = {
95
+ **DanbotNLProcessorKwargs._defaults["encoder_kwargs"],
96
+ **kwargs,
97
+ }
98
+ decoder_output_kwargs = {
99
+ **DanbotNLProcessorKwargs._defaults["decoder_kwargs"],
100
+ **kwargs,
101
+ }
102
+
103
+ encoder_tokens = self.encoder_tokenizer(
104
+ encoder_text,
105
+ **encoder_output_kwargs,
106
+ )
107
+
108
+ # repeat encoder_token in each decoder_text by encoder_text length
109
+ # <|placeholder|> -> <|placeholder|><|placeholder|><|placeholder|>...
110
+ decoder_text = [
111
+ text.replace(self.encoder_token, self.encoder_token * sum(attention_mask))
112
+ for text, attention_mask in zip(
113
+ decoder_text, encoder_tokens["attention_mask"]
114
+ )
115
+ ]
116
+
117
+ decoder_tokens = self.decoder_tokenizer(
118
+ decoder_text,
119
+ **decoder_output_kwargs,
120
+ )
121
+
122
+ return BatchFeature(
123
+ data={
124
+ "input_ids": decoder_tokens["input_ids"],
125
+ "attention_mask": decoder_tokens["attention_mask"],
126
+ "encoder_input_ids": encoder_tokens["input_ids"],
127
+ "encoder_attention_mask": encoder_tokens["attention_mask"],
128
+ }
129
+ )
130
+
131
+ # Copied from transformers.models.clip.processing_clip.CLIPProcessor.decode with CLIP->PreTrained
132
+ def batch_decode(self, *args, **kwargs):
133
+ """
134
+ This method forwards all its arguments to PreTrainedTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please
135
+ refer to the docstring of this method for more information.
136
+ """
137
+ return self.decoder_tokenizer.batch_decode(*args, **kwargs)
138
+
139
+ # Copied from transformers.models.clip.processing_clip.CLIPProcessor.decode with CLIP->PreTrained
140
+ def decode(self, *args, **kwargs):
141
+ """
142
+ This method forwards all its arguments to PreTrainedTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to
143
+ the docstring of this method for more information.
144
+ """
145
+ return self.decoder_tokenizer.decode(*args, **kwargs)
146
+
147
+ @property
148
+ def model_input_names(self):
149
+ return ["encoder_text", "decoder_text"]
150
+
151
+ # edit from: https://github.com/huggingface/transformers/blob/1d063793318b20654ebb850f48f43e0a247ab7bb/src/transformers/processing_utils.py#L980-L995
152
+ @classmethod
153
+ def _get_arguments_from_pretrained(cls, pretrained_model_name_or_path, **kwargs):
154
+ args = []
155
+ for attribute_name in cls.attributes:
156
+ class_name = getattr(cls, f"{attribute_name}_class")
157
+ subfolder = attribute_name # subfolder is the same as attribute_name
158
+ if isinstance(class_name, tuple):
159
+ classes = tuple(
160
+ getattr(transformers_module, n) if n is not None else None
161
+ for n in class_name
162
+ )
163
+ use_fast = kwargs.get("use_fast", True)
164
+ if use_fast and classes[1] is not None:
165
+ attribute_class = classes[1]
166
+ else:
167
+ attribute_class = classes[0]
168
+ else:
169
+ attribute_class = getattr(transformers_module, class_name)
170
+ assert attribute_class is not None, f"Class {class_name} not found"
171
+
172
+ args.append(
173
+ attribute_class.from_pretrained(
174
+ pretrained_model_name_or_path,
175
+ subfolder=subfolder,
176
+ **kwargs,
177
+ )
178
+ )
179
+ return args
180
+
181
+ # edit from: https://github.com/huggingface/transformers/blob/1d063793318b20654ebb850f48f43e0a247ab7bb/src/transformers/processing_utils.py#L460-L560
182
+ def save_pretrained(self, save_directory, push_to_hub: bool = False, **kwargs):
183
+ """
184
+ Saves the attributes of this processor (feature extractor, tokenizer...) in the specified directory so that it
185
+ can be reloaded using the [`~ProcessorMixin.from_pretrained`] method.
186
+
187
+ <Tip>
188
+
189
+ This class method is simply calling [`~feature_extraction_utils.FeatureExtractionMixin.save_pretrained`] and
190
+ [`~tokenization_utils_base.PreTrainedTokenizerBase.save_pretrained`]. Please refer to the docstrings of the
191
+ methods above for more information.
192
+
193
+ </Tip>
194
+
195
+ Args:
196
+ save_directory (`str` or `os.PathLike`):
197
+ Directory where the feature extractor JSON file and the tokenizer files will be saved (directory will
198
+ be created if it does not exist).
199
+ push_to_hub (`bool`, *optional*, defaults to `False`):
200
+ Whether or not to push your model to the Hugging Face model hub after saving it. You can specify the
201
+ repository you want to push to with `repo_id` (will default to the name of `save_directory` in your
202
+ namespace).
203
+ kwargs (`Dict[str, Any]`, *optional*):
204
+ Additional key word arguments passed along to the [`~utils.PushToHubMixin.push_to_hub`] method.
205
+ """
206
+ use_auth_token = kwargs.pop("use_auth_token", None)
207
+
208
+ if use_auth_token is not None:
209
+ warnings.warn(
210
+ "The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.",
211
+ FutureWarning,
212
+ )
213
+ if kwargs.get("token", None) is not None:
214
+ raise ValueError(
215
+ "`token` and `use_auth_token` are both specified. Please set only the argument `token`."
216
+ )
217
+ kwargs["token"] = use_auth_token
218
+
219
+ os.makedirs(save_directory, exist_ok=True)
220
+
221
+ if push_to_hub:
222
+ commit_message = kwargs.pop("commit_message", None)
223
+ repo_id = kwargs.pop("repo_id", save_directory.split(os.path.sep)[-1])
224
+ repo_id = self._create_repo(repo_id, **kwargs)
225
+ files_timestamps = self._get_files_timestamps(save_directory)
226
+ # If we have a custom config, we copy the file defining it in the folder and set the attributes so it can be
227
+ # loaded from the Hub.
228
+ if self._auto_class is not None:
229
+ attrs = [
230
+ getattr(self, attribute_name) for attribute_name in self.attributes
231
+ ]
232
+ configs = [
233
+ (a.init_kwargs if isinstance(a, PreTrainedTokenizerBase) else a)
234
+ for a in attrs
235
+ ]
236
+ configs.append(self)
237
+ custom_object_save(self, save_directory, config=configs)
238
+
239
+ for attribute_name in self.attributes:
240
+ attribute = getattr(self, attribute_name)
241
+ # Include the processor class in the attribute config so this processor can then be reloaded with the
242
+ # `AutoProcessor` API.
243
+ if hasattr(attribute, "_set_processor_class"):
244
+ attribute._set_processor_class(self.__class__.__name__)
245
+ attribute.save_pretrained(
246
+ os.path.join(
247
+ save_directory,
248
+ attribute_name, # CHANGED: save to subfolder
249
+ ),
250
+ )
251
+
252
+ if self._auto_class is not None:
253
+ # We added an attribute to the init_kwargs of the tokenizers, which needs to be cleaned up.
254
+ for attribute_name in self.attributes:
255
+ attribute = getattr(self, attribute_name)
256
+ if isinstance(attribute, PreTrainedTokenizerBase):
257
+ del attribute.init_kwargs["auto_map"]
258
+
259
+ # If we save using the predefined names, we can load using `from_pretrained`
260
+ # plus we save chat_template in its own file
261
+ output_processor_file = os.path.join(save_directory, PROCESSOR_NAME)
262
+ output_chat_template_file = os.path.join(save_directory, CHAT_TEMPLATE_NAME)
263
+
264
+ processor_dict = self.to_dict()
265
+ # Save `chat_template` in its own file. We can't get it from `processor_dict` as we popped it in `to_dict`
266
+ # to avoid serializing chat template in json config file. So let's get it from `self` directly
267
+ if self.chat_template is not None:
268
+ chat_template_json_string = (
269
+ json.dumps(
270
+ {"chat_template": self.chat_template}, indent=2, sort_keys=True
271
+ )
272
+ + "\n"
273
+ )
274
+ with open(output_chat_template_file, "w", encoding="utf-8") as writer:
275
+ writer.write(chat_template_json_string)
276
+ logger.info(f"chat template saved in {output_chat_template_file}")
277
+
278
+ # For now, let's not save to `processor_config.json` if the processor doesn't have extra attributes and
279
+ # `auto_map` is not specified.
280
+ if set(processor_dict.keys()) != {"processor_class"}:
281
+ self.to_json_file(output_processor_file)
282
+ logger.info(f"processor saved in {output_processor_file}")
283
+
284
+ if push_to_hub:
285
+ self._upload_modified_files(
286
+ save_directory,
287
+ repo_id,
288
+ files_timestamps,
289
+ commit_message=commit_message,
290
+ token=kwargs.get("token"),
291
+ )
292
+
293
+ if set(processor_dict.keys()) == {"processor_class"}:
294
+ return []
295
+ return [output_processor_file]