Instructions to use ContinuousAT/Zephyr-CAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ContinuousAT/Zephyr-CAT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "ContinuousAT/Zephyr-CAT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18cb6798b11d25a1a00018c9287e67717c1cce75664f1efd597711d6467d1528
- Size of remote file:
- 671 MB
- SHA256:
- 48119f54d8a2db7e6613c28a3525d83d40fdb8c8805b66dfd8086e04ca9d51da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.