Instructions to use laquythang/65e522af-438e-44c6-86ee-bd0668430ddb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/65e522af-438e-44c6-86ee-bd0668430ddb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "laquythang/65e522af-438e-44c6-86ee-bd0668430ddb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40bb43a6e010a93fb145804718e4240ef18cc3f63bfe3fcb8fc761cf1562a59f
- Size of remote file:
- 794 kB
- SHA256:
- d1eceaa836f09dbb581a1848d735e95ad4832ea7472f93b137f92a954e2bae6e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.