Instructions to use thangla01/28ac9d93-94a9-4485-a110-d2ab3149e1c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/28ac9d93-94a9-4485-a110-d2ab3149e1c2 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, "thangla01/28ac9d93-94a9-4485-a110-d2ab3149e1c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fec2d64cdeee9ec770c344232c929778eea304f54196bae4c8c4e0ed2921e64f
- Size of remote file:
- 84 MB
- SHA256:
- c33599e179ea0af774234e01d8c6750f40686ee6937977822ceb1f2dbafc3195
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.