Instructions to use sergioalves/a658750a-cefb-4ecd-900f-2a4bc94d8064 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/a658750a-cefb-4ecd-900f-2a4bc94d8064 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/710e2ef0-57bd-4b22-84b5-ff862a5d7f2e") model = PeftModel.from_pretrained(base_model, "sergioalves/a658750a-cefb-4ecd-900f-2a4bc94d8064") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1cb2778baa1ba014a2cfa4f86081d7b28690633e2d55c91d6ec712a800bd150
- Size of remote file:
- 336 MB
- SHA256:
- 1f3f4f06e95832bdee0cbd34a72764a72f6e7bdb081879fce7eb78235192bab4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.