Instructions to use chauhoang/78162bad-ca18-b072-91a2-c6a11d0c1bf1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/78162bad-ca18-b072-91a2-c6a11d0c1bf1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "chauhoang/78162bad-ca18-b072-91a2-c6a11d0c1bf1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fce3abfb2a7157675dd1c016e681cd50d600717b9a7efca4a10e9956f9a6bc0
- Size of remote file:
- 21.5 MB
- SHA256:
- eb1711b4c5aeb1873af780db8e4f0f8b4ccb605b7ccba2589d5fd303c3c26d66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.