Instructions to use AntoineGourru/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AntoineGourru/results 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, "AntoineGourru/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f63e0cf8f9064405d38e6ff0767d281649fe7bbf5cfdec661d6bf509b25ff56
- Size of remote file:
- 4.73 kB
- SHA256:
- 38825d413e1b3352c6f3e7623c492d30e230af8ae7a335deaf1cee96d03d6d3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.