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("mark230271/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 | tokenizer - bert - tokenizers - pytorch - tensorflow | 11 | -1_tokenizer_bert_tokenizers_pytorch | 
+| 0 | tokenizer - tokenizers - tokenization - berttokenizer - bart | 2376 | 0_tokenizer_tokenizers_tokenization_berttokenizer | 
+| 1 | cuda - gpt2 - gpt - gpus - gpu | 1879 | 1_cuda_gpt2_gpt_gpus | 
+| 2 | modelcard - modelcards - card - model - models | 735 | 2_modelcard_modelcards_card_model | 
+| 3 | transformerscli - transformers - transformer - transformerxl - importerror | 412 | 3_transformerscli_transformers_transformer_transformerxl | 
+| 4 | typeerror - attributeerror - valueerror - error - errors | 385 | 4_typeerror_attributeerror_valueerror_error | 
+| 5 | trainertrain - trainer - trainerevaluate - trainers - training | 330 | 5_trainertrain_trainer_trainerevaluate_trainers | 
+| 6 | seq2seq - seq2seqtrainer - s2s - runseq2seq - seq2seqdataset | 319 | 6_seq2seq_seq2seqtrainer_s2s_runseq2seq | 
+| 7 | typos - typo - fix - correction - fixed | 306 | 7_typos_typo_fix_correction | 
+| 8 | ci - testing - test - tests - circleci | 282 | 8_ci_testing_test_tests | 
+| 9 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 255 | 9_readmemd_readmetxt_readme_file | 
+| 10 | t5 - t5model - tf - t5base - t5large | 255 | 10_t5_t5model_tf_t5base | 
+| 11 | generationbeamsearchpy - beamsearch - groupbeamsearch - beam - search | 218 | 11_generationbeamsearchpy_beamsearch_groupbeamsearch_beam | 
+| 12 | flax - distilbertmodel - flaubert - deberta - model | 185 | 12_flax_distilbertmodel_flaubert_deberta | 
+| 13 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 177 | 13_ner_pipeline_pipelines_nerpipeline | 
+| 14 | questionansweringpipeline - tfalbertforquestionanswering - questionanswering - distilbertforquestionanswering - answering | 161 | 14_questionansweringpipeline_tfalbertforquestionanswering_questionanswering_distilbertforquestionanswering | 
+| 15 | huggingfacetransformers - huggingface - hugging - gluepy - gluebenchmarkcom | 133 | 15_huggingfacetransformers_huggingface_hugging_gluepy | 
+| 16 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 130 | 16_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
+| 17 | labelsmoothednllloss - labelsmoothingfactor - label - labels - labelsmoothing | 96 | 17_labelsmoothednllloss_labelsmoothingfactor_label_labels | 
+| 18 | longformer - longformers - longform - longformerlayer - longformermodel | 73 | 18_longformer_longformers_longform_longformerlayer | 
+| 19 | configpath - configs - config - configuration - modelconfigs | 59 | 19_configpath_configs_config_configuration | 
+| 20 | wandbproject - wandb - sagemaker - sagemakertrainer - wandbcallback | 45 | 20_wandbproject_wandb_sagemaker_sagemakertrainer | 
+| 21 | cachedir - cache - cachedpath - caching - cached | 33 | 21_cachedir_cache_cachedpath_caching | 
+| 22 | notebook - notebooks - community - colab - t5 | 33 | 22_notebook_notebooks_community_colab | 
+| 23 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 30 | 23_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
+| 24 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 24 | 24_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
+| 25 | isort - blackisortflake8 - github - repo - version | 18 | 25_isort_blackisortflake8_github_repo | 
+| 26 | pplm - pr - deprecated - variable - ppl | 14 | 26_pplm_pr_deprecated_variable | 
+| 27 | indexerror - index - missingindex - indices - runtimeerror | 14 | 27_indexerror_index_missingindex_indices | 
+| 28 | ga - fork - forks - forked - push | 12 | 28_ga_fork_forks_forked |
+  
+</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: 0.8.33
+* UMAP: 0.5.6
+* Pandas: 2.0.3
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 2.6.1
+* Transformers: 4.38.2
+* 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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+size 46168