Instructions to use Maaz66/mistral_python_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Maaz66/mistral_python_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Maaz66/mistral_python_instruct") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Maaz66/mistral_python_instruct: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/Maaz66/mistral_python_instruct/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Maaz66/mistral_python_instruct/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Maaz66/mistral_python_instruct/resolve/main/adapter_model.safetensors
369 MB
- Xet hash:
- c5209882289ab3c39c61a8faa8cccebad3018047e0b203fb2ced0537ead36182
- Size of remote file:
- 369 MB
- SHA256:
- 35c56418fdab7eb20d76d81e2936d8777630e1a3278b03e86db3c9d2ef5e7048
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