Instructions to use agustoslu/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agustoslu/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/mistral-7b-instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "agustoslu/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55faafcf6123fff35b44ebf841d981401936e77b82cce3d79b1057648fc87940
- Size of remote file:
- 4.66 kB
- SHA256:
- 4b7bc8d9cdff91140ab9c53c335f57d1785426f190e17722c5ba0e68f1fcdd70
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.