Instructions to use cunghoctienganh/3069106e-2678-4f2e-af5d-3168d0e321f5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/3069106e-2678-4f2e-af5d-3168d0e321f5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/3069106e-2678-4f2e-af5d-3168d0e321f5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c23a9811e3dc46e80bc3e425fbe4109ecc412a20fabb0f1418e71cb51944dca
- Size of remote file:
- 60 MB
- SHA256:
- 9013ccb7ceb0ebd215b4c7f123fbbe101a8465601ef3e253875cee28db086b47
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.