Instructions to use jointpreferences/mistral_7b_lr_1.5e-6_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jointpreferences/mistral_7b_lr_1.5e-6_sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jointpreferences/mistral_7b_lr_1.5e-6_sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin.index.json from jointpreferences/mistral_7b_lr_1.5e-6_sft: direct link, hf CLI and curl.
- Browser
- Download file 24 kB
-
https://huggingface.co/jointpreferences/mistral_7b_lr_1.5e-6_sft/resolve/main/pytorch_model.bin.index.json
- Command line
-
hf download hf://jointpreferences/mistral_7b_lr_1.5e-6_sft/pytorch_model.bin.index.json
-
curl -L -o pytorch_model.bin.index.json https://huggingface.co/jointpreferences/mistral_7b_lr_1.5e-6_sft/resolve/main/pytorch_model.bin.index.json
24 kB
- Xet hash:
- c62159095494e5363c3e89a0ced5a04f6669ea885e8d758fdc0dac57032870aa
- Size of remote file:
- 24 kB
- SHA256:
- 0f4af64099aeba780bf8864d88ce314d723faf8e341aa2d6bf824d1f1553d366
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