Instructions to use kienlt/vistral-7b-chat-math-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kienlt/vistral-7b-chat-math-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kienlt/vistral-7b-chat-math-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from kienlt/vistral-7b-chat-math-adapter: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/kienlt/vistral-7b-chat-math-adapter/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kienlt/vistral-7b-chat-math-adapter/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kienlt/vistral-7b-chat-math-adapter/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- df2b4a5ec3f62baa6194f791c4ae738a056c4dad8d94421c583b95af79b60ae6
- Size of remote file:
- 83.9 MB
- SHA256:
- a5c10c0285d3aa787ddc6188ba64befe70bbd8db8bb2190d9d19f0ccb17e1ef5
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