nlpbaselines


Namenlpbaselines JSON
Version 0.0.49 PyPI version JSON
download
home_pagehttps://github.com/xiaoouwang/nlpbaselines
SummaryQuickly establish strong baselines for NLP tasks
upload_time2023-11-14 17:25:59
maintainer
docs_urlNone
authorXiaoou WANG
requires_python
licenseApache Licence 2.0
keywords text mining nlp corpus french bert transformers camembert
VCS
bugtrack_url
requirements scikit-learn datasets transformers torch nlpbaselines jupyter jupyterlab accelerate matplotlib
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # nlpbaselines


Establish quick baselines for NLP tasks.

Citation:

```
@Manual{url,
  author={Wang Xiaoou},
  title={nlpbaselines: establish quick baselines for NLP tasks},
  year={2022},
  url={https://github.com/xiaoouwang/nlpbaselines},
}
```

## How to use the package

[Train a Camembert classifier on a dataset without cross validation](https://colab.research.google.com/drive/11UtXGiARX_ZIuBdQAQoex6OaLvaGE8RP?usp=sharing)

[Evaluate Camembert, Flaubert and DistilCamemBERT on a sentiment analysis dataset
](https://medium.com/nlp-in-action/evaluate-camembert-flaubert-and-distilcamembert-on-a-sentiment-analysis-dataset-8d86c56c3de2)

more coming

## License

### Codes

`nlpbaselines` is licensed under Apache License 2.0. You can use `nlpbaselines` in your commercial products for free. We would appreciate it if you add a link to `nlpbaselines` on your website.

### Models

Unless otherwise specified, all models in `nlpbaselines` are licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).

            

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