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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# transformers_issues_topics |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("lbhjvh14/transformers_issues_topics") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 30 |
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* Number of training documents: 9000 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | pretrained - tokenizer - tensorflow - tokenizers - tf | 11 | -1_pretrained_tokenizer_tensorflow_tokenizers | |
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| 0 | tokenizer - tokenizers - tokenization - tokenize - token | 2407 | 0_tokenizer_tokenizers_tokenization_tokenize | |
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| 1 | cuda - memory - tensorflow - pytorch - gpu | 1379 | 1_cuda_memory_tensorflow_pytorch | |
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| 2 | longformer - longformers - longformertokenizerfast - longformerformultiplechoice - tf | 791 | 2_longformer_longformers_longformertokenizerfast_longformerformultiplechoice | |
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| 3 | modelcard - modelcards - card - model - cards | 510 | 3_modelcard_modelcards_card_model | |
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| 4 | summarization - summaries - summary - sentences - text | 431 | 4_summarization_summaries_summary_sentences | |
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| 5 | s2s - seq2seq - runseq2seq - eval - examplesseq2seq | 405 | 5_s2s_seq2seq_runseq2seq_eval | |
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| 6 | squaddataset - attributeerror - squadpy - valueerror - modulenotfounderror | 381 | 6_squaddataset_attributeerror_squadpy_valueerror | |
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| 7 | typos - typo - doc - docstring - fix | 324 | 7_typos_typo_doc_docstring | |
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| 8 | readmemd - readmetxt - readme - modelcard - file | 299 | 8_readmemd_readmetxt_readme_modelcard | |
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| 9 | gpt2 - gpt2xl - gpt - gpt2tokenizer - gpt3 | 261 | 9_gpt2_gpt2xl_gpt_gpt2tokenizer | |
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| 10 | rag - ragtokenforgeneration - ragsequenceforgeneration - tokenizer - gluepy | 256 | 10_rag_ragtokenforgeneration_ragsequenceforgeneration_tokenizer | |
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| 11 | transformerscli - importerror - transformers - transformer - transformerxl | 232 | 11_transformerscli_importerror_transformers_transformer | |
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| 12 | ner - pipeline - pipelines - pipelinespy - nerpipeline | 196 | 12_ner_pipeline_pipelines_pipelinespy | |
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| 13 | testing - tests - test - installationtest - speedup | 189 | 13_testing_tests_test_installationtest | |
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| 14 | checkpoint - trainertrain - checkpoints - checkpointing - trainersavecheckpoint | 162 | 14_checkpoint_trainertrain_checkpoints_checkpointing | |
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| 15 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 119 | 15_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | |
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| 16 | generationbeamsearchpy - generatebeamsearch - beamsearch - nonbeamsearch - beam | 109 | 16_generationbeamsearchpy_generatebeamsearch_beamsearch_nonbeamsearch | |
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| 17 | onnxonnxruntime - onnx - onnxexport - 04onnxexport - 04onnxexportipynb | 99 | 17_onnxonnxruntime_onnx_onnxexport_04onnxexport | |
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| 18 | labelsmoothednllloss - labelsmoothingfactor - label - labels - labelsmoothing | 86 | 18_labelsmoothednllloss_labelsmoothingfactor_label_labels | |
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| 19 | cachedir - cache - cachedpath - cached - caching | 77 | 19_cachedir_cache_cachedpath_cached | |
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| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 61 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | |
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| 21 | notebook - notebooks - community - colab - t5 | 55 | 21_notebook_notebooks_community_colab | |
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| 22 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 39 | 22_wandbproject_wandb_wandbcallback_wandbdisabled | |
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| 23 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 38 | 23_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | |
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| 24 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 24 | 24_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | |
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| 25 | isort - blackisortflake8 - dependencies - github - matplotlib | 18 | 25_isort_blackisortflake8_dependencies_github | |
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| 26 | pplm - pr - deprecated - variable - ppl | 16 | 26_pplm_pr_deprecated_variable | |
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| 27 | ga - fork - forks - forked - push | 14 | 27_ga_fork_forks_forked | |
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| 28 | indexerror - runtimeerror - index - indices - missingindex | 11 | 28_indexerror_runtimeerror_index_indices | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: 30 |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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## Framework versions |
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* Numpy: 1.23.5 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.4 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.2.2 |
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* Transformers: 4.34.0 |
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* Numba: 0.56.4 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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