Add BERTopic model

README.md

@@ -0,0 +1,97 @@
+
+---
+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("aouichaty/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 - trainer | 12 | -1_bert_tensorflow_pytorch_pretrained | 
+| 0 | tokenizer - tokenizers - tokenization - tokenize - token | 2216 | 0_tokenizer_tokenizers_tokenization_tokenize | 
+| 1 | gpt2 - gpt2doubleheadsmodel - gpt - gpt2lmheadmodel - distilgpt2 | 1767 | 1_gpt2_gpt2doubleheadsmodel_gpt_gpt2lmheadmodel | 
+| 2 | trainer - trainertrain - trainers - training - tf | 739 | 2_trainer_trainertrain_trainers_training | 
+| 3 | modelcard - modelcards - card - model - models | 692 | 3_modelcard_modelcards_card_model | 
+| 4 | gluepy - glue - glueconvertexamplestofeatures - attributeerror - importerror | 533 | 4_gluepy_glue_glueconvertexamplestofeatures_attributeerror | 
+| 5 | summarization - summaries - summary - text - nlp | 427 | 5_summarization_summaries_summary_text | 
+| 6 | s2s - exampless2s - seq2seq - seq2seqtrainer - runseq2seq | 345 | 6_s2s_exampless2s_seq2seq_seq2seqtrainer | 
+| 7 | readmemd - readmetxt - readme - modelcard - file | 317 | 7_readmemd_readmetxt_readme_modelcard | 
+| 8 | typos - typo - fix - correction - fixed | 251 | 8_typos_typo_fix_correction | 
+| 9 | transformerscli - transformers - transformer - transformerxl - importerror | 238 | 9_transformerscli_transformers_transformer_transformerxl | 
+| 10 | deprecate - deprecation - deprecated - warnings - warning | 190 | 10_deprecate_deprecation_deprecated_warnings | 
+| 11 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 155 | 11_ner_pipeline_pipelines_nerpipeline | 
+| 12 | flaxbertformaskedlm - flax - flaxelectraformaskedlm - flaxjax - distilbertmodel | 149 | 12_flaxbertformaskedlm_flax_flaxelectraformaskedlm_flaxjax | 
+| 13 | longformer - longformers - longform - longformerformultiplechoice - longformertokenizerfast | 147 | 13_longformer_longformers_longform_longformerformultiplechoice | 
+| 14 | tests - testing - test - testgeneratefp16 - slow | 138 | 14_tests_testing_test_testgeneratefp16 | 
+| 15 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 125 | 15_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
+| 16 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 95 | 16_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
+| 17 | benchmark - benchmarks - accuracy - precision - comparison | 74 | 17_benchmark_benchmarks_accuracy_precision | 
+| 18 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 69 | 18_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | 
+| 19 | huggingfacemaster - huggingfacetokenizers297 - huggingface - huggingfaces - huggingfacetransformers | 52 | 19_huggingfacemaster_huggingfacetokenizers297_huggingface_huggingfaces | 
+| 20 | prophetnet - prophetnetmodel - prophetnetforcausallm - prophetnetngramattention - prophetnetforconditionalgeneration | 52 | 20_prophetnet_prophetnetmodel_prophetnetforcausallm_prophetnetngramattention | 
+| 21 | notebook - notebooks - blenderbot3b - community - blenderbot | 43 | 21_notebook_notebooks_blenderbot3b_community | 
+| 22 | cachedir - cache - cachedpath - caching - cached | 43 | 22_cachedir_cache_cachedpath_caching | 
+| 23 | closed - add - bort - added - deleted | 32 | 23_closed_add_bort_added | 
+| 24 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 28 | 24_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
+| 25 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 25 | 25_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
+| 26 | isort - blackisortflake8 - github - repo - version | 16 | 26_isort_blackisortflake8_github_repo | 
+| 27 | pplm - pr - deprecated - variable - ppl | 15 | 27_pplm_pr_deprecated_variable | 
+| 28 | colab - cola - crashes - crash - tcmalloc | 15 | 28_colab_cola_crashes_crash |
+  
+</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: 4.33.1
+* Numba: 0.56.4
+* Plotly: 5.15.0
+* Python: 3.10.12

config.json

@@ -0,0 +1,15 @@
+{
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d9d360d0a17808b3e2751a2513c3b6f300f84f2c0d9b3f041494ba083423d94
+size 46168