Instructions to use trongg/1590473b-0dee-4962-8c83-e8a23918458f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trongg/1590473b-0dee-4962-8c83-e8a23918458f with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trongg/1590473b-0dee-4962-8c83-e8a23918458f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7109980f33abc2392c583639f144b7cf89f9534725f0468ee3a7c7eb27671a4f
- Size of remote file:
- 6.01 kB
- SHA256:
- f4e14f19e6631346da36debbd3527a59c19d7ca359f7c84c306d1e2d4219014a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.