Instructions to use yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/yanndata/Mistral-7B-Instruct-v0.3-hygie-custom-v0.1/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- dd577f5716a5dbbbe7521d5e5f43c4a80a73f802d7a64bd120cc6299422e3c2c
- Size of remote file:
- 168 MB
- SHA256:
- 7d8bfccca9375baa8a67c96fc909477bc8abc5f29f99e7514a122ae75412e126
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