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("ruanwz/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 - tf - pretrained - gpu | 11 | -1_tensorflow_pytorch_tf_pretrained | 
+| 0 | tokenizer - tokenizers - tokenize - tokenization - token | 2089 | 0_tokenizer_tokenizers_tokenize_tokenization | 
+| 1 | gpt2 - gpt - gpt2doubleheadsmodel - gpt2lmheadmodel - distilgpt2 | 1471 | 1_gpt2_gpt_gpt2doubleheadsmodel_gpt2lmheadmodel | 
+| 2 | ner - seq2seqtrainer - seq2seq - runseq2seqpy - valueerror | 856 | 2_ner_seq2seqtrainer_seq2seq_runseq2seqpy | 
+| 3 | modelcard - modelcards - card - model - cards | 601 | 3_modelcard_modelcards_card_model | 
+| 4 | trainer - trainertrain - trainers - training - evaluateduringtraining | 500 | 4_trainer_trainertrain_trainers_training | 
+| 5 | longformer - longformers - longformerformultiplechoice - tf - longformertokenizerfast | 455 | 5_longformer_longformers_longformerformultiplechoice_tf | 
+| 6 | typos - typo - fix - correction - fixed | 439 | 6_typos_typo_fix_correction | 
+| 7 | albertbasev2 - albertforpretraining - albert - albertformaskedlm - xlnet | 407 | 7_albertbasev2_albertforpretraining_albert_albertformaskedlm | 
+| 8 | summarization - summaries - summary - text - nlp | 351 | 8_summarization_summaries_summary_text | 
+| 9 | readmemd - readmetxt - readme - modelcard - file | 333 | 9_readmemd_readmetxt_readme_modelcard | 
+| 10 | transformerscli - transformers - transformer - transformerxl - importerror | 259 | 10_transformerscli_transformers_transformer_transformerxl | 
+| 11 | ci - testing - tests - test - slow | 228 | 11_ci_testing_tests_test | 
+| 12 | questionansweringpipeline - questionanswering - answering - tfalbertforquestionanswering - questionasnwering | 156 | 12_questionansweringpipeline_questionanswering_answering_tfalbertforquestionanswering | 
+| 13 | pipeline - pipelines - pipelinespy - pipelineexception - fixpipeline | 137 | 13_pipeline_pipelines_pipelinespy_pipelineexception | 
+| 14 | onnxonnxruntime - onnx - onnxexport - 04onnxexport - 04onnxexportipynb | 113 | 14_onnxonnxruntime_onnx_onnxexport_04onnxexport | 
+| 15 | benchmark - benchmarks - accuracy - evaluation - metrics | 98 | 15_benchmark_benchmarks_accuracy_evaluation | 
+| 16 | huggingfacemaster - huggingfacetokenizers297 - huggingface - huggingfaces - huggingfacetransformers | 81 | 16_huggingfacemaster_huggingfacetokenizers297_huggingface_huggingfaces | 
+| 17 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 69 | 17_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
+| 18 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 56 | 18_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | 
+| 19 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 53 | 19_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
+| 20 | cachedir - cache - cachedpath - cached - caching | 43 | 20_cachedir_cache_cachedpath_cached | 
+| 21 | notebook - notebooks - colab - community - t5 | 33 | 21_notebook_notebooks_colab_community | 
+| 22 | wandbproject - wandb - sagemaker - sagemakertrainer - wandbcallback | 32 | 22_wandbproject_wandb_sagemaker_sagemakertrainer | 
+| 23 | bigbird - py7zr - tapas - tres - v4 | 32 | 23_bigbird_py7zr_tapas_tres | 
+| 24 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 28 | 24_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
+| 25 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 24 | 25_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
+| 26 | isort - blackisortflake8 - github - repo - version | 18 | 26_isort_blackisortflake8_github_repo | 
+| 27 | pplm - pr - deprecated - variable - ppl | 14 | 27_pplm_pr_deprecated_variable | 
+| 28 | blenderbot - blenderbot3b - blenderbotforcausallm - chatbot - boto3 | 13 | 28_blenderbot_blenderbot3b_blenderbotforcausallm_chatbot |
+  
+</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: 4.31.0
+* 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