Instructions to use lindenchen430/unified_vit_v113_256-vision-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use lindenchen430/unified_vit_v113_256-vision-decoder with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:lindenchen430/unified_vit_v113_256-vision-decoder') tokenizer = open_clip.get_tokenizer('hf-hub:lindenchen430/unified_vit_v113_256-vision-decoder') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3ff2589b0c2c438bb7021e615e3eafdc7b27a0d22cc4e47390e4f175fa9444d
- Size of remote file:
- 155 MB
- SHA256:
- 034c2bd460ddf2e8e530296895f448e65b9abbd04ddf50662a2c4690cfab5081
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