Instructions to use m3hrdadfi/rag-token-multiset-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/rag-token-multiset-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RagTokenForGeneration tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/rag-token-multiset-base") model = RagTokenForGeneration.from_pretrained("m3hrdadfi/rag-token-multiset-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download question_encoder_tokenizer/tokenizer.json from m3hrdadfi/rag-token-multiset-base: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/m3hrdadfi/rag-token-multiset-base/resolve/main/question_encoder_tokenizer/tokenizer.json
- Command line
-
hf download hf://m3hrdadfi/rag-token-multiset-base/question_encoder_tokenizer/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/m3hrdadfi/rag-token-multiset-base/resolve/main/question_encoder_tokenizer/tokenizer.json
711 kB
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