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("Adamyu/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 - tf - pytorch - tensorflow - t5 | 12 | -1_bert_tf_pytorch_tensorflow | 
+| 0 | tokenizer - tokenizers - tokenization - tokenize - token | 2218 | 0_tokenizer_tokenizers_tokenization_tokenize | 
+| 1 | cuda - cuda0 - memory - tensorflow - ram | 1617 | 1_cuda_cuda0_memory_tensorflow | 
+| 2 | modelcard - modelcards - card - model - cards | 582 | 2_modelcard_modelcards_card_model | 
+| 3 | readmemd - readmetxt - readme - file - docstring | 536 | 3_readmemd_readmetxt_readme_file | 
+| 4 | gpt2 - gpt2tokenizer - gpt2tokenizerfast - gpt2model - gpt2xl | 490 | 4_gpt2_gpt2tokenizer_gpt2tokenizerfast_gpt2model | 
+| 5 | squaddataset - squad - squadpy - dataset - datasets | 430 | 5_squaddataset_squad_squadpy_dataset | 
+| 6 | summarization - summaries - sentences - sentencepiece - nlp | 387 | 6_summarization_summaries_sentences_sentencepiece | 
+| 7 | s2s - s2t - exampless2s - seq2seq - seq2seqtrainer | 335 | 7_s2s_s2t_exampless2s_seq2seq | 
+| 8 | trainertrain - trainer - trainerevaluate - trainers - training | 301 | 8_trainertrain_trainer_trainerevaluate_trainers | 
+| 9 | t5 - t5model - t5base - tf - t5large | 266 | 9_t5_t5model_t5base_tf | 
+| 10 | ci - testing - tests - speedup - test | 254 | 10_ci_testing_tests_speedup | 
+| 11 | importerror - transformerscli - transformers - transformer - transformerxl | 202 | 11_importerror_transformerscli_transformers_transformer | 
+| 12 | pipeline - pipelines - ner - nerpipeline - fillmaskpipeline | 168 | 12_pipeline_pipelines_ner_nerpipeline | 
+| 13 | glue - gluepy - glueconvertexamplestofeatures - huggingfacetransformers - huggingfacemaster | 164 | 13_glue_gluepy_glueconvertexamplestofeatures_huggingfacetransformers | 
+| 14 | questionansweringpipeline - questionanswering - answering - tfalbertforquestionanswering - questionasnwering | 162 | 14_questionansweringpipeline_questionanswering_answering_tfalbertforquestionanswering | 
+| 15 | deprecate - deprecation - warnings - deprecated - warning | 135 | 15_deprecate_deprecation_warnings_deprecated | 
+| 16 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 132 | 16_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
+| 17 | flaxbertmodel - flaxbertformaskedlm - flax - flaxelectraforpretraining - flaxelectraformaskedlm | 96 | 17_flaxbertmodel_flaxbertformaskedlm_flax_flaxelectraforpretraining | 
+| 18 | precision - accuracy - tf - tfbertfortokenclassification - dtypefloat32 | 95 | 18_precision_accuracy_tf_tfbertfortokenclassification | 
+| 19 | generationbeamsearchpy - generatebeamsearch - beamsearch - nonbeamsearch - beam | 81 | 19_generationbeamsearchpy_generatebeamsearch_beamsearch_nonbeamsearch | 
+| 20 | longformer - longformers - longform - longformerlayer - longformermodel | 74 | 20_longformer_longformers_longform_longformerlayer | 
+| 21 | cachedir - cache - cachedpath - caching - cached | 65 | 21_cachedir_cache_cachedpath_caching | 
+| 22 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 40 | 22_wandbproject_wandb_wandbcallback_wandbdisabled | 
+| 23 | layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - template | 38 | 23_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased | 
+| 24 | notebook - notebooks - blenderbot3b - community - blenderbot | 32 | 24_notebook_notebooks_blenderbot3b_community | 
+| 25 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 30 | 25_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
+| 26 | colab - cola - fixed - fix - links | 25 | 26_colab_cola_fixed_fix | 
+| 27 | pplm - pr - deprecated - variable - attributeerror | 20 | 27_pplm_pr_deprecated_variable | 
+| 28 | isort - blackisortflake8 - github - repo - version | 13 | 28_isort_blackisortflake8_github_repo |
+  
+</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: 0.5.5
+* Pandas: 1.5.3
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 2.2.2
+* Transformers: 4.35.2
+* Numba: 0.58.1
+* 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:d29428c6e323dfbb8e2fd3beda2a227fd1b4ad03189717190a093818dbd4e1f8
+size 46168