Instructions to use facebook/rag-sequence-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/rag-sequence-nq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RagSequenceForGeneration tokenizer = AutoTokenizer.from_pretrained("facebook/rag-sequence-nq") model = RagSequenceForGeneration.from_pretrained("facebook/rag-sequence-nq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download question_encoder_tokenizer/special_tokens_map.json from facebook/rag-sequence-nq: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/facebook/rag-sequence-nq/resolve/main/question_encoder_tokenizer/special_tokens_map.json
- Command line
-
hf download hf://facebook/rag-sequence-nq/question_encoder_tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/facebook/rag-sequence-nq/resolve/main/question_encoder_tokenizer/special_tokens_map.json
112 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |