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("Ruslan10/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 | bert - tensorflow - pytorch - pretrained - models | 11 | -1_bert_tensorflow_pytorch_pretrained | 
+| 0 | bertforsequenceclassification - encoderdecoder - berttokenizer - tokenizer - bert | 2042 | 0_bertforsequenceclassification_encoderdecoder_berttokenizer_tokenizer | 
+| 1 | pytorch - tensorflow - modelingutilspy - tensors - tensor | 1903 | 1_pytorch_tensorflow_modelingutilspy_tensors | 
+| 2 | seq2seqtrainer - seq2seq - testing - tests - prepareseq2seqbatch | 735 | 2_seq2seqtrainer_seq2seq_testing_tests | 
+| 3 | docstring - docstrings - readmetxt - doc - readmemd | 603 | 3_docstring_docstrings_readmetxt_doc | 
+| 4 | gpt2 - gpt2tokenizer - gpt2tokenizerfast - gpt - gpt2model | 513 | 4_gpt2_gpt2tokenizer_gpt2tokenizerfast_gpt | 
+| 5 | trainertrain - trainer - trainers - training - evaluateduringtraining | 442 | 5_trainertrain_trainer_trainers_training | 
+| 6 | modelcard - modelcards - card - model - models | 440 | 6_modelcard_modelcards_card_model | 
+| 7 | albertforpretraining - xlnet - xlnetlmheadmodel - albertbasev2 - albertformaskedlm | 436 | 7_albertforpretraining_xlnet_xlnetlmheadmodel_albertbasev2 | 
+| 8 | t5 - t5model - tf - t5base - tf2 | 359 | 8_t5_t5model_tf_t5base | 
+| 9 | transformerscli - transformers - transformer - transformerxl - importerror | 259 | 9_transformerscli_transformers_transformer_transformerxl | 
+| 10 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 197 | 10_ner_pipeline_pipelines_nerpipeline | 
+| 11 | questionansweringpipeline - questionanswering - answering - tfalbertforquestionanswering - questionasnwering | 159 | 11_questionansweringpipeline_questionanswering_answering_tfalbertforquestionanswering | 
+| 12 | longformer - longform - longformers - longformerlayer - longformerformultiplechoice | 135 | 12_longformer_longform_longformers_longformerlayer | 
+| 13 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 117 | 13_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
+| 14 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 95 | 14_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
+| 15 | benchmark - benchmarks - accuracy - evaluation - metrics | 90 | 15_benchmark_benchmarks_accuracy_evaluation | 
+| 16 | huggingfacemaster - huggingfacetokenizers297 - huggingface - huggingfacetransformers - huggingfacetransformer | 83 | 16_huggingfacemaster_huggingfacetokenizers297_huggingface_huggingfacetransformers | 
+| 17 | datacollatorforlanguagemodelingfile - datacollatorforlanguagemodeling - datacollatorforlanguagemodelling - datacollatorforpermutationlanguagemodeling - datacollatorfornextsentenceprediction | 77 | 17_datacollatorforlanguagemodelingfile_datacollatorforlanguagemodeling_datacollatorforlanguagemodelling_datacollatorforpermutationlanguagemodeling | 
+| 18 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 52 | 18_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
+| 19 | notebook - notebooks - community - colab - t5 | 48 | 19_notebook_notebooks_community_colab | 
+| 20 | wandbproject - wandb - sagemaker - sagemakertrainer - wandbcallback | 39 | 20_wandbproject_wandb_sagemaker_sagemakertrainer | 
+| 21 | cachedir - cache - cachedpath - caching - cached | 34 | 21_cachedir_cache_cachedpath_caching | 
+| 22 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 32 | 22_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
+| 23 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 23 | 23_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
+| 24 | dict - dictstr - returndict - parse - arguments | 18 | 24_dict_dictstr_returndict_parse | 
+| 25 | pplm - pr - deprecated - variable - ppl | 18 | 25_pplm_pr_deprecated_variable | 
+| 26 | isort - blackisortflake8 - github - repo - version | 15 | 26_isort_blackisortflake8_github_repo | 
+| 27 | blenderbot - blenderbot3b - blenderbotforcausallm - bot - boto3 | 14 | 27_blenderbot_blenderbot3b_blenderbotforcausallm_bot | 
+| 28 | indexerror - index - missingindex - indices - runtimeerror | 11 | 28_indexerror_index_missingindex_indices |
+
+</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
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## Framework versions
+
+* Numpy: 2.0.2
+* HDBSCAN: 0.8.41
+* UMAP: 0.5.11
+* Pandas: 2.2.2
+* Scikit-Learn: 1.6.1
+* Sentence-transformers: 5.2.0
+* Transformers: 4.57.6
+* Numba: 0.60.0
+* Plotly: 5.24.1
+* Python: 3.12.12

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,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null,
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

topic_embeddings.safetensors

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+size 46168