Instructions to use MadhurArora1/mistral-7b-finance-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MadhurArora1/mistral-7b-finance-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "MadhurArora1/mistral-7b-finance-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ab894dfcd70c2413af5e7f4542e34fb370c0783d46dbd368838837154b17c88
- Size of remote file:
- 1.47 kB
- SHA256:
- 6ad730274a77610e8fed6daf56dc9a883b70b99ef40fff1516a5acc47aa7363c
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