Instructions to use laquythang/ede03983-ae80-4700-a6ad-ccdb2cca17c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/ede03983-ae80-4700-a6ad-ccdb2cca17c5 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/ede03983-ae80-4700-a6ad-ccdb2cca17c5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cf1782919ee2de3292785652efa8804dd3b73b9ed6474e524ed045ebf669fef
- Size of remote file:
- 768 kB
- SHA256:
- b800c2533c3497aad47be4b9f271302231de76b46b91dbded648104d24981db8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.