Instructions to use sar79/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sar79/results with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased") model = PeftModel.from_pretrained(base_model, "sar79/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07c3b0572f562024c6403e58fa2294acee836a582cc5daa1652dcb0a4c66dcb5
- Size of remote file:
- 5.05 kB
- SHA256:
- 04e7f2674df99a62c68588e268c365bb19dc02c292f9f95943bd5a8160b57ba1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.