Instructions to use Adjoumani/mistral-finetuned-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Adjoumani/mistral-finetuned-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Adjoumani/mistral-finetuned-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75a5374050c3ed7a3b3c1837e0e27af13116ab0a6daa708ed77557c773444412
- Size of remote file:
- 5.5 kB
- SHA256:
- 0322678d211d3ec0b6a4542519888567ab92ec8424c568a9c50aaf385bb7a8f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.