---
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