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("FelipeSarmento/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 - model - input - models - layer | 11 | -1_bert_model_input_models | 
+| 0 | encoderdecoder - encoderdecodermodel - encoder - decoder - tokenizers | 2113 | 0_encoderdecoder_encoderdecodermodel_encoder_decoder | 
+| 1 | trainertrain - trainer - trainingarguments - pytorch - training | 1753 | 1_trainertrain_trainer_trainingarguments_pytorch | 
+| 2 | importerror - attributeerror - valueerror - typeerror - indexerror | 1248 | 2_importerror_attributeerror_valueerror_typeerror | 
+| 3 | modelcard - modelcards - card - model - models | 472 | 3_modelcard_modelcards_card_model | 
+| 4 | doc - typos - docstring - docs - typo | 458 | 4_doc_typos_docstring_docs | 
+| 5 | xlnetmodel - xlnet - xlnetlmheadmodel - xlm - xlarge | 358 | 5_xlnetmodel_xlnet_xlnetlmheadmodel_xlm | 
+| 6 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt | 301 | 6_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | 
+| 7 | readmemd - modelcard - readmetxt - readme - file | 278 | 7_readmemd_modelcard_readmetxt_readme | 
+| 8 | ci - testing - tests - speedup - slow | 262 | 8_ci_testing_tests_speedup | 
+| 9 | transformerscli - transformers - transformer - transformerxl - importerror | 245 | 9_transformerscli_transformers_transformer_transformerxl | 
+| 10 | s2s - s2t - s2sdistill - s2strainer - exampless2s | 238 | 10_s2s_s2t_s2sdistill_s2strainer | 
+| 11 | trainertrain - trainer - logging - training - feattrainer | 212 | 11_trainertrain_trainer_logging_training | 
+| 12 | questionansweringpipeline - distilbertforquestionanswering - answering - questionanswering - tfalbertforquestionanswering | 139 | 12_questionansweringpipeline_distilbertforquestionanswering_answering_questionanswering | 
+| 13 | ner - pipeline - pipelines - nerpipeline - fixpipeline | 127 | 13_ner_pipeline_pipelines_nerpipeline | 
+| 14 | longformer - longformers - longform - longformerforqa - longformerlayer | 126 | 14_longformer_longformers_longform_longformerforqa | 
+| 15 | label - labelsmoothingfactor - labels - labelsmoothing - labellist | 116 | 15_label_labelsmoothingfactor_labels_labelsmoothing | 
+| 16 | onnxonnxruntime - onnx - onnxexport - 04onnxexport - 04onnxexportipynb | 101 | 16_onnxonnxruntime_onnx_onnxexport_04onnxexport | 
+| 17 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 86 | 17_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
+| 18 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 55 | 18_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
+| 19 | configpath - configs - config - configuration - modelconfigs | 49 | 19_configpath_configs_config_configuration | 
+| 20 | amp - tf - electrapretrainedmodel - tflongformer - modelingelectra | 47 | 20_amp_tf_electrapretrainedmodel_tflongformer | 
+| 21 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 39 | 21_wandbproject_wandb_wandbcallback_wandbdisabled | 
+| 22 | cachedir - cache - cachedpath - caching - cached | 37 | 22_cachedir_cache_cachedpath_caching | 
+| 23 | notebook - notebooks - community - blenderbot3b - blenderbot | 32 | 23_notebook_notebooks_community_blenderbot3b | 
+| 24 | adamw - adam - adambetas - trainingargs - wip | 30 | 24_adamw_adam_adambetas_trainingargs | 
+| 25 | pplm - pr - deprecated - variable - ppl | 24 | 25_pplm_pr_deprecated_variable | 
+| 26 | layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - tf | 15 | 26_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased | 
+| 27 | closed - licens - license - deleted - uss | 14 | 27_closed_licens_license_deleted | 
+| 28 | isort - github - repo - version - setupcfg | 14 | 28_isort_github_repo_version |
+  
+</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: 1.26.4
+* HDBSCAN: 0.8.33
+* UMAP: 0.5.5
+* Pandas: 2.2.2
+* Scikit-Learn: 1.4.2
+* Sentence-transformers: 2.7.0
+* Transformers: 4.39.3
+* Numba: 0.59.1
+* Plotly: 5.21.0
+* Python: 3.11.0

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