Add BERTopic model

README.md

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+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# transformers_issues_topics
+
+This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
+BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 
+
+## Usage 
+
+To use this model, please install BERTopic:
+
+```
+pip install -U bertopic
+```
+
+You can use the model as follows:
+
+```python
+from bertopic import BERTopic
+topic_model = BERTopic.load("u571/transformers_issues_topics")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 30
+* Number of training documents: 9000
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | tensorflow - pytorch - tokenizers - tokenizer - bert | 10 | -1_tensorflow_pytorch_tokenizers_tokenizer | 
+| 0 | tokenizer - tokenizers - tokenization - tokenize - token | 2107 | 0_tokenizer_tokenizers_tokenization_tokenize | 
+| 1 | cuda - memory - gpu - gpus - tensorflow | 1271 | 1_cuda_memory_gpu_gpus | 
+| 2 | tf - trainer - tf2 - tpu - trainertrain | 901 | 2_tf_trainer_tf2_tpu | 
+| 3 | summarization - summaries - summary - sentences - sentencepiece | 543 | 3_summarization_summaries_summary_sentences | 
+| 4 | modelcard - modelcards - card - model - cards | 483 | 4_modelcard_modelcards_card_model | 
+| 5 | gpt2 - gpt2tokenizer - gpt2tokenizerfast - gpt2xl - gpt | 431 | 5_gpt2_gpt2tokenizer_gpt2tokenizerfast_gpt2xl | 
+| 6 | xlnet - xlnetlmheadmodel - xlm - xlmr - xla | 423 | 6_xlnet_xlnetlmheadmodel_xlm_xlmr | 
+| 7 | typos - typo - fix - fixed - correction | 334 | 7_typos_typo_fix_fixed | 
+| 8 | s2s - exampless2s - seq2seqtrainer - seq2seq - runseq2seq | 324 | 8_s2s_exampless2s_seq2seqtrainer_seq2seq | 
+| 9 | testing - tests - test - slow - ci | 316 | 9_testing_tests_test_slow | 
+| 10 | readmemd - readmetxt - readme - modelcard - file | 296 | 10_readmemd_readmetxt_readme_modelcard | 
+| 11 | transformerscli - transformers - transformer - transformerxl - importerror | 262 | 11_transformerscli_transformers_transformer_transformerxl | 
+| 12 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 223 | 12_ner_pipeline_pipelines_nerpipeline | 
+| 13 | rag - ragtokenforgeneration - ragmodel - ragsequenceforgeneration - tokenizer | 166 | 13_rag_ragtokenforgeneration_ragmodel_ragsequenceforgeneration | 
+| 14 | trainertrain - checkpoint - checkpoints - trainer - training | 146 | 14_trainertrain_checkpoint_checkpoints_trainer | 
+| 15 | datacollatorforlanguagemodeling - datacollatorforpermutationlanguagemodeling - datacollatorforlanguagemodelling - labelsmoothingfactor - maskedlmlabels | 128 | 15_datacollatorforlanguagemodeling_datacollatorforpermutationlanguagemodeling_datacollatorforlanguagemodelling_labelsmoothingfactor | 
+| 16 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 99 | 16_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
+| 17 | longformer - longformers - longform - longformerforqa - longformerlayer | 84 | 17_longformer_longformers_longform_longformerforqa | 
+| 18 | benchmark - benchmarks - results - datasets - v100a100 | 78 | 18_benchmark_benchmarks_results_datasets | 
+| 19 | generationbeamsearchpy - generatebeamsearch - beamsearch - nonbeamsearch - beam | 75 | 19_generationbeamsearchpy_generatebeamsearch_beamsearch_nonbeamsearch | 
+| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 71 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | 
+| 21 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 52 | 21_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
+| 22 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 47 | 22_wandbproject_wandb_wandbcallback_wandbdisabled | 
+| 23 | cachedir - cache - cachedpath - caching - cached | 37 | 23_cachedir_cache_cachedpath_caching | 
+| 24 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 33 | 24_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
+| 25 | dict - dictstr - returndict - parse - arguments | 18 | 25_dict_dictstr_returndict_parse | 
+| 26 | pplm - pr - deprecated - variable - ppl | 16 | 26_pplm_pr_deprecated_variable | 
+| 27 | colab - cola - crashes - crash - tcmalloc | 14 | 27_colab_cola_crashes_crash | 
+| 28 | ctrl - ctrlsum - shortcuts - model - navigate | 12 | 28_ctrl_ctrlsum_shortcuts_model |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: english
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: 30
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: True
+
+## Framework versions
+
+* Numpy: 1.23.5
+* HDBSCAN: 0.8.33
+* UMAP: 0.5.3
+* Pandas: 1.5.3
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 2.2.2
+* Transformers: 4.32.0
+* Numba: 0.56.4
+* Plotly: 5.15.0
+* Python: 3.10.12

config.json

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+{
+  "calculate_probabilities": false,
+  "language": "english",
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": 30,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": true,
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

topic_embeddings.safetensors

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+size 46168