Instructions to use CheapsetZero/6edc97b7-26b3-41b1-a92f-a6408924bbf3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CheapsetZero/6edc97b7-26b3-41b1-a92f-a6408924bbf3 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, "CheapsetZero/6edc97b7-26b3-41b1-a92f-a6408924bbf3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 670d70c886ccdc4b6b8a8762412e6d8cc243cf34ca4a8949056df68334a84e09
- 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.