Instructions to use dedgington/vit-small-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dedgington/vit-small-ds with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dedgington/vit-small-ds") - Notebooks
- Google Colab
- Kaggle
Push Keras model using huggingface_hub.
Browse files- fingerprint.pb +2 -2
- keras_metadata.pb +2 -2
- saved_model.pb +2 -2
- variables/variables.data-00000-of-00001 +1 -1
- variables/variables.index +0 -0
fingerprint.pb
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keras_metadata.pb
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saved_model.pb
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variables/variables.data-00000-of-00001
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variables/variables.index
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