Instructions to use hongngo/58a8c4f1-4e74-45e3-95d8-887b4dd3ab10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/58a8c4f1-4e74-45e3-95d8-887b4dd3ab10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "hongngo/58a8c4f1-4e74-45e3-95d8-887b4dd3ab10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57f89b12645c201bc05a456a7cd61818ce2d28c0c1c0a4e67193bc3373807742
- Size of remote file:
- 17.2 MB
- SHA256:
- 14b5e679cb69af62e14c3b98d346177bd4137d882a44f87dec9efec982b01a05
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.