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("FlorenceAndTheMachine/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 - pretrained - model - pytorch | 14 | -1_bert_tensorflow_pretrained_model | 
+| 0 | bertforsequenceclassification - bart - t5 - tokenizers - tokenizer | 2023 | 0_bertforsequenceclassification_bart_t5_tokenizers | 
+| 1 | trainertrain - trainer - pretrained - frompretrained - training | 1809 | 1_trainertrain_trainer_pretrained_frompretrained | 
+| 2 | s2s - seq2seqtrainer - seq2seq - examplesseq2seq - runseq2seqpy | 1258 | 2_s2s_seq2seqtrainer_seq2seq_examplesseq2seq | 
+| 3 | modelcard - modelcards - card - model - cards | 603 | 3_modelcard_modelcards_card_model | 
+| 4 | attributeerror - typeerror - valueerror - error - runmlmpy | 410 | 4_attributeerror_typeerror_valueerror_error | 
+| 5 | xlnet - xlnetmodel - xlnetlmheadmodel - xlarge - xlm | 360 | 5_xlnet_xlnetmodel_xlnetlmheadmodel_xlarge | 
+| 6 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt | 289 | 6_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | 
+| 7 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 279 | 7_readmemd_readmetxt_readme_file | 
+| 8 | typos - typo - fix - correction - fixed | 261 | 8_typos_typo_fix_correction | 
+| 9 | transformerscli - transformers - transformer - transformerxl - importerror | 245 | 9_transformerscli_transformers_transformer_transformerxl | 
+| 10 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 199 | 10_ner_pipeline_pipelines_nerpipeline | 
+| 11 | glue - gluepy - glueconvertexamplestofeatures - huggingfacetransformers - huggingfacemaster | 160 | 11_glue_gluepy_glueconvertexamplestofeatures_huggingfacetransformers | 
+| 12 | questionansweringpipeline - questionanswering - answering - tfalbertforquestionanswering - distilbertforquestionanswering | 157 | 12_questionansweringpipeline_questionanswering_answering_tfalbertforquestionanswering | 
+| 13 | logging - logs - log - onlog - logger | 136 | 13_logging_logs_log_onlog | 
+| 14 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 130 | 14_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
+| 15 | benchmark - benchmarks - accuracy - evaluation - metrics | 86 | 15_benchmark_benchmarks_accuracy_evaluation | 
+| 16 | labelsmoothednllloss - labelsmoothingfactor - label - labels - labelsmoothing | 84 | 16_labelsmoothednllloss_labelsmoothingfactor_label_labels | 
+| 17 | longformer - longformers - longform - longformerforqa - longformerlayer | 83 | 17_longformer_longformers_longform_longformerforqa | 
+| 18 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 77 | 18_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
+| 19 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 60 | 19_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | 
+| 20 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 48 | 20_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
+| 21 | cachedir - cache - cachedpath - caching - cached | 42 | 21_cachedir_cache_cachedpath_caching | 
+| 22 | notebook - notebooks - community - sagemakertrainer - documentation | 37 | 22_notebook_notebooks_community_sagemakertrainer | 
+| 23 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 34 | 23_wandbproject_wandb_wandbcallback_wandbdisabled | 
+| 24 | add - bort - added - py7zr - update | 33 | 24_add_bort_added_py7zr | 
+| 25 | electra - electraformaskedlm - electraformultiplechoice - electrafortokenclassification - electraforsequenceclassification | 30 | 25_electra_electraformaskedlm_electraformultiplechoice_electrafortokenclassification | 
+| 26 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 19 | 26_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
+| 27 | isort - blackisortflake8 - dependencies - github - matplotlib | 17 | 27_isort_blackisortflake8_dependencies_github | 
+| 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
+
+## 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: 4.33.0
+* 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