Instructions to use diagonalge/c4650a4d-c32d-4e0f-a27c-171ba40b07e6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diagonalge/c4650a4d-c32d-4e0f-a27c-171ba40b07e6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "diagonalge/c4650a4d-c32d-4e0f-a27c-171ba40b07e6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15ea5a39bdf2f34936679c2f5b17516871272d6181ad6b708b1a2f11484bdcee
- Size of remote file:
- 45.2 MB
- SHA256:
- 6215a41e69c4e04df81c9f5830526ecfc5cc1b693dcef8bc5379431376490181
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.