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("noumanjavaid/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 | models - bert - model - tensorflow - tokenizers | 14 | -1_models_bert_model_tensorflow | 
+| 0 | tokenizer - tokenizers - tokenization - token - tokens | 2078 | 0_tokenizer_tokenizers_tokenization_token | 
+| 1 | pytorch - tensorflow - modelingutilspy - attributeerror - runtimeerror | 1886 | 1_pytorch_tensorflow_modelingutilspy_attributeerror | 
+| 2 | trainertrain - trainer - trainers - training - evaluateduringtraining | 696 | 2_trainertrain_trainer_trainers_training | 
+| 3 | summarization - summaries - summary - examples - sentencepiece | 636 | 3_summarization_summaries_summary_examples | 
+| 4 | gpt2tokenizer - gpt2 - gpt2tokenizerfast - gpt2model - gpt | 452 | 4_gpt2tokenizer_gpt2_gpt2tokenizerfast_gpt2model | 
+| 5 | modelcard - modelcards - card - model - models | 451 | 5_modelcard_modelcards_card_model | 
+| 6 | typos - typo - fix - correction - fixed | 446 | 6_typos_typo_fix_correction | 
+| 7 | readmemd - readmetxt - readme - modelcard - file | 284 | 7_readmemd_readmetxt_readme_modelcard | 
+| 8 | t5 - t5model - t5base - tf - t5large | 256 | 8_t5_t5model_t5base_tf | 
+| 9 | longformer - longformers - longformerformultiplechoice - longformertokenizerfast - attentions | 254 | 9_longformer_longformers_longformerformultiplechoice_longformertokenizerfast | 
+| 10 | seq2seq - seq2seqtrainer - seq2seqdataset - seq2seqfinetunepy - runseq2seq | 223 | 10_seq2seq_seq2seqtrainer_seq2seqdataset_seq2seqfinetunepy | 
+| 11 | pipeline - pipelines - ner - pipelinesentimentanalysis - nerpipeline | 209 | 11_pipeline_pipelines_ner_pipelinesentimentanalysis | 
+| 12 | ci - testing - tests - test - testgeneratefp16 | 175 | 12_ci_testing_tests_test | 
+| 13 | deprecate - deprecation - deprecated - warnings - warning | 136 | 13_deprecate_deprecation_deprecated_warnings | 
+| 14 | onnxonnxruntime - onnx - 04onnxexport - 04onnxexportipynb - benchmarkonnxexport | 129 | 14_onnxonnxruntime_onnx_04onnxexport_04onnxexportipynb | 
+| 15 | datacollatorforlanguagemodelingfile - datacollatorforlanguagemodeling - datacollatorforlanguagemodelling - datacollatorforpermutationlanguagemodeling - labelsmoothingfactor | 100 | 15_datacollatorforlanguagemodelingfile_datacollatorforlanguagemodeling_datacollatorforlanguagemodelling_datacollatorforpermutationlanguagemodeling | 
+| 16 | deberta - debertav2 - debertav2initpy - debertatokenizer - debertav2xxlargemnli | 73 | 16_deberta_debertav2_debertav2initpy_debertatokenizer | 
+| 17 | benchmark - benchmarking - benchmarks - comparison - results | 63 | 17_benchmark_benchmarking_benchmarks_comparison | 
+| 18 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 61 | 18_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
+| 19 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 56 | 19_wandbproject_wandb_wandbcallback_wandbdisabled | 
+| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 54 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | 
+| 21 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 49 | 21_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
+| 22 | configpath - configs - config - configuration - modelconfigs | 49 | 22_configpath_configs_config_configuration | 
+| 23 | logging - logs - log - logger - loggingfirststep | 45 | 23_logging_logs_log_logger | 
+| 24 | cachedir - cache - cachedpath - caching - cached | 34 | 24_cachedir_cache_cachedpath_caching | 
+| 25 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 34 | 25_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
+| 26 | layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - tf | 23 | 26_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased | 
+| 27 | dict - dictstr - returndict - parse - arguments | 17 | 27_dict_dictstr_returndict_parse | 
+| 28 | pplm - pr - deprecated - variable - ppl | 17 | 28_pplm_pr_deprecated_variable |
+  
+</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: 1.25.2
+* HDBSCAN: 0.8.37
+* UMAP: 0.5.6
+* Pandas: 2.0.3
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 3.0.1
+* Transformers: 4.41.2
+* Numba: 0.58.1
+* 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,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null,
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
+}

topic_embeddings.safetensors

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+oid sha256:3410a9b79973e667ebfef655bac1e5f3c9523bb090b864de4658c992c544a1e9
+size 46168