Instructions to use facebook/rag-token-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/rag-token-nq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RagTokenForGeneration tokenizer = AutoTokenizer.from_pretrained("facebook/rag-token-nq") model = RagTokenForGeneration.from_pretrained("facebook/rag-token-nq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generator_tokenizer/vocab.json from facebook/rag-token-nq: direct link, hf CLI and curl.
- Browser
- Download file 899 kB
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https://huggingface.co/facebook/rag-token-nq/resolve/3cd8133e26e4656e45b5393398b229fa12b95c56/generator_tokenizer/vocab.json
- Command line
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hf download hf://facebook/rag-token-nq@3cd8133e26e4656e45b5393398b229fa12b95c56/generator_tokenizer/vocab.json
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curl -L -o vocab.json https://huggingface.co/facebook/rag-token-nq/resolve/3cd8133e26e4656e45b5393398b229fa12b95c56/generator_tokenizer/vocab.json
899 kB
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