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/tokenizer_config.json from facebook/rag-sequence-nq: direct link, hf CLI and curl.
- Browser
- Download file 48 Bytes
-
https://huggingface.co/facebook/rag-sequence-nq/resolve/refs%2Fpr%2F1/question_encoder_tokenizer/tokenizer_config.json
- Command line
-
hf download hf://facebook/rag-sequence-nq@refs/pr/1/question_encoder_tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/facebook/rag-sequence-nq/resolve/refs%2Fpr%2F1/question_encoder_tokenizer/tokenizer_config.json
48 Bytes
| {"do_lower_case": true, "model_max_length": 512} |