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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AgentPublic/dpr-ctx_encoder-fr_qa-camembert: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/AgentPublic/dpr-ctx_encoder-fr_qa-camembert/resolve/main/tokenizer.json
- Command line
-
hf download hf://AgentPublic/dpr-ctx_encoder-fr_qa-camembert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AgentPublic/dpr-ctx_encoder-fr_qa-camembert/resolve/main/tokenizer.json
1.4 MB
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