Instructions to use NguyenAn05/lora1-logic-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NguyenAn05/lora1-logic-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NguyenAn05/lora1-logic-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29bc7dd840bf55a193b7e3c4aee2b6b68143c80295dd702b77fcac10f21fee9e
- Size of remote file:
- 5.38 kB
- SHA256:
- 32da2a4ea1e495e67619993e961e0f072c5cfd11585bddbd97214cc1441a3699
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.