Instructions to use probing-vits/vit_b16_patch16_224_i1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use probing-vits/vit_b16_patch16_224_i1k with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://probing-vits/vit_b16_patch16_224_i1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e040a4f4088b72224c72296046fc3bb549a61b379f2bdf97cd63ff4b33591ce
- Size of remote file:
- 5.38 MB
- SHA256:
- bb26cb3d90edecc0fe0fc501dfe28fa881ec44f379dd6a3e5f7b916db1f2bff3
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