Instructions to use mtzig/v3_mistral_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/v3_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/v3_mistral_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba2d3f11822eb1420d88d1f6ba851ab2c565d0469e4e0489acdedfbae33da808
- Size of remote file:
- 5.24 kB
- SHA256:
- 3cac959dd92e706e245c9360619a89716c4a99a6a473606a1301489eb2511c1f
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