Instructions to use csujeong/Mistral-7B-Finetuning-Insurance-16R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use csujeong/Mistral-7B-Finetuning-Insurance-16R 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, "csujeong/Mistral-7B-Finetuning-Insurance-16R") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de76834cfa16a2a770a37176f4232b699d681d22e8378f918fa931be3f5ede13
- Size of remote file:
- 92.3 MB
- SHA256:
- 2c6d3bfb949869face467d41e27d9dbb4602c4e9c8d89ab81b82ad62365df123
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