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:
- 9706ceff1c5c0b6babd86f97f1a8a097312be6a1b74bad8ddd355f1d5ac4e401
- Size of remote file:
- 2.36 kB
- SHA256:
- ca70a99c3940e567573908776c3ed3b2de63f7bc9a6296c38eb708b8e7f13971
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