Instructions to use adn0n/mistral_notes_finetuned_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adn0n/mistral_notes_finetuned_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "adn0n/mistral_notes_finetuned_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 764c0dde6731031ee219c1d09e2b966bc6cfc34a1054fe491a54cab93d99808c
- Size of remote file:
- 4.92 kB
- SHA256:
- aadbb791c85eddce0a037b21f076a61c4dd5593dc1968697b6d78084ecbabd19
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.