Instructions to use Crystalcareai/WasalesGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Crystalcareai/WasalesGen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-alpha") model = PeftModel.from_pretrained(base_model, "Crystalcareai/WasalesGen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73aee3d42944ee3fc268250177a816a8e4693eac2f9175256f989f8552b39a2a
- Size of remote file:
- 27.4 MB
- SHA256:
- a337b8ea0ba175f302b3254cc0dfd9564b05d515fa7933ac27ba49c6ac8d8490
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.