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--- |
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language: fr |
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license: mit |
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tags: |
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- pytorch |
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- causal-lm |
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datasets: |
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- c4 |
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--- |
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# Cedille AI |
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Cedille is a project to bring large language models to non-English languages. |
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## fr-boris |
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Boris is a 6B parameter autoregressive language model based on the GPT-J architecture and trained using the [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) codebase. |
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Boris was trained on around 78B tokens of French text from the [C4](https://huggingface.co/datasets/c4) dataset. We started training from GPT-J, which has been trained on [The Pile](https://pile.eleuther.ai/). As a consequence the model still has good performance in English language. Boris makes use of the unmodified GPT-2 tokenizer. |
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Boris is named after the great French writer [Boris Vian](https://en.wikipedia.org/wiki/Boris_Vian). |
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# How do I test Cedille? |
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For the time being, the easiest way to test the model is to use our [publicly accessible playground](https://en.cedille.ai/). |
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Cedille is a relatively large model and running it in production can get expensive. Consider contacting us for API access at hello@cedille.ai. |
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## 📊 Cedille paper |
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Our paper is out now! https://arxiv.org/abs/2202.03371 |
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Thanks for citing our work if you make use of Cedille |
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```bibtex |
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@misc{muller2022cedille, |
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title={Cedille: A large autoregressive French language model}, |
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author={Martin M{\"{u}}ller and Florian Laurent}, |
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year={2022}, |
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eprint={2202.03371}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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## Contact us |
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For any custom development please contact us at hello@cedille.ai. |
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## Links |
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* [Official website](https://en.cedille.ai/) |
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* [Blog](https://en.cedille.ai/blog) |
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* [GitHub](https://github.com/coteries/cedille-ai) |
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* [Twitter](https://twitter.com/CedilleAI) |
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