Instructions to use CreatorPhan/lora_scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CreatorPhan/lora_scratch with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/mnt/d/VTS/anhpn46/vietcuna-3b") model = PeftModel.from_pretrained(base_model, "CreatorPhan/lora_scratch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76cf278458699d3f345fb5f282b2967e34cc9976eee5ef286341fea61e2dc933
- Size of remote file:
- 39.4 MB
- SHA256:
- 748ea5b51b58dd01ee3d470ce0bba4e2120e73616f1e7eb47e98f705b4960395
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.