Instructions to use shivalikasingh/shiftViT-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shivalikasingh/shiftViT-Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shivalikasingh/shiftViT-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cb0492741a8df5f9a85c9262b3eabe10f594fd953cbf38cf9cd9d2da4ace152
- Size of remote file:
- 169 kB
- SHA256:
- 5e637dcc9aca54d585018e6367b447811c28e34eeeb04cfbb3b1cc1e10a4285e
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