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.json from laituan245/rag-token-bart-base: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/laituan245/rag-token-bart-base/resolve/main/question_encoder_tokenizer/tokenizer.json
- Command line
-
hf download hf://laituan245/rag-token-bart-base/question_encoder_tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/laituan245/rag-token-bart-base/resolve/main/question_encoder_tokenizer/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.