Instructions to use cunghoctienganh/17d6a65a-bc7f-4f9f-b757-40553e9bd1ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/17d6a65a-bc7f-4f9f-b757-40553e9bd1ed with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jingyeom/seal3.1.6n_7b") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/17d6a65a-bc7f-4f9f-b757-40553e9bd1ed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66adec1968d67254ae8ff4f0414e378dd4b2232252b5764d8338a7bc4dafdaf1
- Size of remote file:
- 6.78 kB
- SHA256:
- 247058981e7f72eaa7847f5e512681004c23f9ef34a5052af6aca573b000e7dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.