Update README.md
Browse files
README.md
CHANGED
@@ -12,7 +12,7 @@ base_model:
|
|
12 |
|
13 |
### Model Details
|
14 |
|
15 |
-
This model was originally developed as part of the [AI Tinkerer's Hackathon in Kuala Lumpur](https://www.linkedin.com/posts/supa-ai_llms-techinnovation-llm-activity-7256832143694192640-INSI?utm_source=share&utm_medium=member_desktop)
|
16 |
for an LLM-as-a-Judge use case.
|
17 |
|
18 |
It is a finetune [mesolitica/malaysian-debertav2-base](https://huggingface.co/mesolitica/malaysian-debertav2-base).
|
@@ -40,7 +40,7 @@ The training notebook can be found here: https://github.com/wanadzhar913/aitinke
|
|
40 |
|
41 |
### Usage
|
42 |
|
43 |
-
```
|
44 |
from transformers import AutoTokenizer, AutoConfig, pipeline, \
|
45 |
DebertaV2ForSequenceClassification
|
46 |
|
@@ -52,7 +52,8 @@ pipe = pipeline(
|
|
52 |
"text-classification",
|
53 |
tokenizer = tokenizer,
|
54 |
model=model,
|
55 |
-
padding=True
|
|
|
56 |
)
|
57 |
|
58 |
# https://www.astroawani.com/berita-malaysia/belanjawan-2025-gaji-minimum-ditingkatkan-kepada-rm1-700-sebulan-492383
|
|
|
12 |
|
13 |
### Model Details
|
14 |
|
15 |
+
This model was originally developed as part of the 1st place solution for the [AI Tinkerer's Hackathon in Kuala Lumpur](https://www.linkedin.com/posts/supa-ai_llms-techinnovation-llm-activity-7256832143694192640-INSI?utm_source=share&utm_medium=member_desktop)
|
16 |
for an LLM-as-a-Judge use case.
|
17 |
|
18 |
It is a finetune [mesolitica/malaysian-debertav2-base](https://huggingface.co/mesolitica/malaysian-debertav2-base).
|
|
|
40 |
|
41 |
### Usage
|
42 |
|
43 |
+
```python
|
44 |
from transformers import AutoTokenizer, AutoConfig, pipeline, \
|
45 |
DebertaV2ForSequenceClassification
|
46 |
|
|
|
52 |
"text-classification",
|
53 |
tokenizer = tokenizer,
|
54 |
model=model,
|
55 |
+
padding=True,
|
56 |
+
device=0,
|
57 |
)
|
58 |
|
59 |
# https://www.astroawani.com/berita-malaysia/belanjawan-2025-gaji-minimum-ditingkatkan-kepada-rm1-700-sebulan-492383
|