Instructions to use Utsav2001/ORA_Llama3.2_Script_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Utsav2001/ORA_Llama3.2_Script_new with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Utsav2001/ORA_Llama3.2_Script_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa68d17eb78201195ac137fd989ff35b694b4986b8bb4897763439877827daa5
- Size of remote file:
- 17.2 MB
- SHA256:
- 3f25415a438dfa6ef4d0bea61e68ed79d123b58f5ef12f6d5d414f8d14988ee3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.