Instructions to use zuhashaik/MaSaC-EFR-Z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zuhashaik/MaSaC-EFR-Z with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "zuhashaik/MaSaC-EFR-Z") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3de12748a1547e6650522912636ddd93f9abae8107cd45a040f03c72c41a71eb
- Size of remote file:
- 336 MB
- SHA256:
- 8b384c6b5b847e7727db33968a162698da17df62eb4c35f45ca5cebfa0225db1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.