Instructions to use AIForge/Sailor2-1B-Chat-rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIForge/Sailor2-1B-Chat-rag with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AIForge/Sailor2-1B-Chat-rag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AIForge/Sailor2-1B-Chat-rag: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/AIForge/Sailor2-1B-Chat-rag/resolve/main/training_args.bin
- Command line
-
hf download hf://AIForge/Sailor2-1B-Chat-rag/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AIForge/Sailor2-1B-Chat-rag/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 9537a3b11a286bc153f3ad64369f6bf1ef1fe2138ac260454d84236673df8171
- Size of remote file:
- 5.62 kB
- SHA256:
- 243431ae3f2d9c0a95e59e43b26d5c2515ebb06d3268f678eb3fdd966256e27d
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