Instructions to use mtzig/v2_mistral_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/v2_mistral_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peiyi9979/math-shepherd-mistral-7b-prm") model = PeftModel.from_pretrained(base_model, "mtzig/v2_mistral_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4ff671c763724d7cc057451f119f3efc06f0df260ff2fd23e5ddeaa37af6570
- Size of remote file:
- 5.24 kB
- SHA256:
- 99743f7693968324e660996a4a6dda9d0ea161b8efc0c50e0ef9e37297a778f4
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