Instructions to use glasses/vit_large_patch16_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/vit_large_patch16_384 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/vit_large_patch16_384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 269c330201adf484d93e36253af6d158fed413ffacfbb866c2d95eca915ef9e9
- Size of remote file:
- 1.22 GB
- SHA256:
- 3b6537293765cb0f1847282d4fba500d700604d316d158f49dbc874966dc3dff
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