Instructions to use cilorku/76eea394-b6c1-4596-b42d-685df856e8d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilorku/76eea394-b6c1-4596-b42d-685df856e8d4 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, "cilorku/76eea394-b6c1-4596-b42d-685df856e8d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11eb32c37c0a275dbb0df5238338429d4f424dc00371f23a60af2482c1957ccd
- Size of remote file:
- 341 MB
- SHA256:
- 18f1fcd81b51e91dea03a7b04c426e640feeeca0d9e6d435497b2f53fceee566
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.