---
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("mark230271/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 | tokenizer - bert - tokenizers - pytorch - tensorflow | 11 | -1_tokenizer_bert_tokenizers_pytorch | 
| 0 | tokenizer - tokenizers - tokenization - berttokenizer - bart | 2376 | 0_tokenizer_tokenizers_tokenization_berttokenizer | 
| 1 | cuda - gpt2 - gpt - gpus - gpu | 1879 | 1_cuda_gpt2_gpt_gpus | 
| 2 | modelcard - modelcards - card - model - models | 735 | 2_modelcard_modelcards_card_model | 
| 3 | transformerscli - transformers - transformer - transformerxl - importerror | 412 | 3_transformerscli_transformers_transformer_transformerxl | 
| 4 | typeerror - attributeerror - valueerror - error - errors | 385 | 4_typeerror_attributeerror_valueerror_error | 
| 5 | trainertrain - trainer - trainerevaluate - trainers - training | 330 | 5_trainertrain_trainer_trainerevaluate_trainers | 
| 6 | seq2seq - seq2seqtrainer - s2s - runseq2seq - seq2seqdataset | 319 | 6_seq2seq_seq2seqtrainer_s2s_runseq2seq | 
| 7 | typos - typo - fix - correction - fixed | 306 | 7_typos_typo_fix_correction | 
| 8 | ci - testing - test - tests - circleci | 282 | 8_ci_testing_test_tests | 
| 9 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 255 | 9_readmemd_readmetxt_readme_file | 
| 10 | t5 - t5model - tf - t5base - t5large | 255 | 10_t5_t5model_tf_t5base | 
| 11 | generationbeamsearchpy - beamsearch - groupbeamsearch - beam - search | 218 | 11_generationbeamsearchpy_beamsearch_groupbeamsearch_beam | 
| 12 | flax - distilbertmodel - flaubert - deberta - model | 185 | 12_flax_distilbertmodel_flaubert_deberta | 
| 13 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 177 | 13_ner_pipeline_pipelines_nerpipeline | 
| 14 | questionansweringpipeline - tfalbertforquestionanswering - questionanswering - distilbertforquestionanswering - answering | 161 | 14_questionansweringpipeline_tfalbertforquestionanswering_questionanswering_distilbertforquestionanswering | 
| 15 | huggingfacetransformers - huggingface - hugging - gluepy - gluebenchmarkcom | 133 | 15_huggingfacetransformers_huggingface_hugging_gluepy | 
| 16 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 130 | 16_onnx_onnxonnxruntime_onnxexport_04onnxexport | 
| 17 | labelsmoothednllloss - labelsmoothingfactor - label - labels - labelsmoothing | 96 | 17_labelsmoothednllloss_labelsmoothingfactor_label_labels | 
| 18 | longformer - longformers - longform - longformerlayer - longformermodel | 73 | 18_longformer_longformers_longform_longformerlayer | 
| 19 | configpath - configs - config - configuration - modelconfigs | 59 | 19_configpath_configs_config_configuration | 
| 20 | wandbproject - wandb - sagemaker - sagemakertrainer - wandbcallback | 45 | 20_wandbproject_wandb_sagemaker_sagemakertrainer | 
| 21 | cachedir - cache - cachedpath - caching - cached | 33 | 21_cachedir_cache_cachedpath_caching | 
| 22 | notebook - notebooks - community - colab - t5 | 33 | 22_notebook_notebooks_community_colab | 
| 23 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 30 | 23_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
| 24 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 24 | 24_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | 
| 25 | isort - blackisortflake8 - github - repo - version | 18 | 25_isort_blackisortflake8_github_repo | 
| 26 | pplm - pr - deprecated - variable - ppl | 14 | 26_pplm_pr_deprecated_variable | 
| 27 | indexerror - index - missingindex - indices - runtimeerror | 14 | 27_indexerror_index_missingindex_indices | 
| 28 | ga - fork - forks - forked - push | 12 | 28_ga_fork_forks_forked |
  
</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: 1.25.2
* HDBSCAN: 0.8.33
* UMAP: 0.5.6
* Pandas: 2.0.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.6.1
* Transformers: 4.38.2
* Numba: 0.58.1
* Plotly: 5.15.0
* Python: 3.10.12