Instructions to use kk-aivio/ad9bf5b7-dcc5-45a2-8901-417c46ec036a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/ad9bf5b7-dcc5-45a2-8901-417c46ec036a 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, "kk-aivio/ad9bf5b7-dcc5-45a2-8901-417c46ec036a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b763d35450a026b54e8b42815641a532aed073868c04ad3a2f61c2cb9bdc528
- Size of remote file:
- 6.78 kB
- SHA256:
- 9b21690fc6888c9821513b7924a24724166889f663eb188b63a945c806382f2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.