semvec/pypi-packages huggingface dataset:
nlpbaselines 0.0.49
Quickly establish strong baselines for NLP tasks
License: Apache Licence 2.0
Keywords: text mining,nlp,corpus,french,bert,transformers,camembert

# 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/).