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:
# 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/tokenizer_config.json from facebook/rag-token-nq: direct link, hf CLI and curl.
- Browser
- Download file 26 Bytes
-
https://huggingface.co/facebook/rag-token-nq/resolve/af32fa164f774a532dfb63c94b2e898e80434643/generator_tokenizer/tokenizer_config.json
- Command line
-
hf download hf://facebook/rag-token-nq@af32fa164f774a532dfb63c94b2e898e80434643/generator_tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/facebook/rag-token-nq/resolve/af32fa164f774a532dfb63c94b2e898e80434643/generator_tokenizer/tokenizer_config.json
26 Bytes
| {"model_max_length": 1024} |