Instructions to use AgentPublic/dpr-ctx_encoder-fr_qa-camembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AgentPublic/dpr-ctx_encoder-fr_qa-camembert with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("AgentPublic/dpr-ctx_encoder-fr_qa-camembert") model = DPRContextEncoder.from_pretrained("AgentPublic/dpr-ctx_encoder-fr_qa-camembert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e257a7363014b92d77c330d2edd8f49e85c2513701a3826eff845cc7aeddf561
- Size of remote file:
- 443 MB
- SHA256:
- 75a3e57b0d66d29ae60f8d6f57312c278da5adcaef7fe967624c02934656bfc6
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