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MisterAI/ALMANACH_CamemBERT_Agent001
ALMANACH_CamemBERT_Agent001 is a text generation model from MisterAI. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Downloads · 30 days
41
40% of all-time downloads
All-time downloads
103
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111M
1.9 GB on disk
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.safetensors888 MB · 47%
From the Hugging Face model README
| Model | #params | Arch. | Training data |
|---|---|---|---|
camembert-base | 110M | Base | OSCAR (138 GB of text) |
camembert/camembert-large | 335M | Large | CCNet (135 GB of text) |
camembert/camembert-base-ccnet | 110M | Base | CCNet (135 GB of text) |
camembert/camembert-base-wikipedia-4gb | 110M | Base | Wikipedia (4 GB of text) |
camembert/camembert-base-oscar-4gb | 110M | Base | Subsample of OSCAR (4 GB of text) |
camembert/camembert-base-ccnet-4gb | 110M | Base | Subsample of CCNet (4 GB of text) |
Testing Training/FineTunning For Now >:)
| Model | #params | Arch. | Training data |
|---|---|---|---|
MisterAI/ALMANACH_CamemBERT_Agent001 based on camembert-base | 110M | Base | MisterAI/SimpleSmallFrenchQA (50 KB of text) |
If you use our work, please cite:
@inproceedings{martin2020camembert, title={CamemBERT: a Tasty French Language Model}, author={Martin, Louis and Muller, Benjamin and Su{'a}rez, Pedro Javier Ortiz and Dupont, Yoann and Romary, Laurent and de la Clergerie, {'E}ric Villemonte and Seddah, Djam{'e} and Sagot, Beno{^\i}t}, booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, year={2020} }