Instructions to use laituan245/rag-token-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laituan245/rag-token-bart-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RagTokenForGeneration tokenizer = AutoTokenizer.from_pretrained("laituan245/rag-token-bart-base") model = RagTokenForGeneration.from_pretrained("laituan245/rag-token-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download question_encoder_tokenizer/tokenizer_config.json from laituan245/rag-token-bart-base: direct link, hf CLI and curl.
- Browser
- Download file 362 Bytes
-
https://huggingface.co/laituan245/rag-token-bart-base/resolve/main/question_encoder_tokenizer/tokenizer_config.json
- Command line
-
hf download hf://laituan245/rag-token-bart-base/question_encoder_tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/laituan245/rag-token-bart-base/resolve/main/question_encoder_tokenizer/tokenizer_config.json
362 Bytes
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "facebook/dpr-question_encoder-single-nq-base", "tokenizer_class": "DPRQuestionEncoderTokenizer"} |