Instructions to use baebee/loratest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baebee/loratest with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-neo-125m") model = PeftModel.from_pretrained(base_model, "baebee/loratest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e5fa3b8fac6b563cdb4f3f9c9920c0acebca5d7c564ab44d6e7efb816e39f92
- Size of remote file:
- 2.38 MB
- SHA256:
- 8b1527dfb6d6666a7aafca55030b85572b694017f69db9e691d62ce051cea1d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.