Instructions to use 1-lock/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "1-lock/7cdedd27-7429-4fa5-8216-572f3edb7ed7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b8e74d0a3013310cbfe575851362fe68c367d60026689f6e82962bde54bc1b1
- Size of remote file:
- 1.55 MB
- SHA256:
- 65583e82f4cea15c434ee5470f65f5b90aabeaa26f8d6b7629a4c2a7ab0612f3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.