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:
- f5c4ff29136a7798d7ba6ee671abd606f1cd30da58d4acf86657384811c07053
- Size of remote file:
- 8.25 MB
- SHA256:
- 3e2c4da006b47bb3f75f71c25038349c5bb12fb9d7f64f1d43e1f5aef8532649
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