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:
- 92b64052c856a90903801a6b788fc60bd46be403c101e0e6f9cc7be87c2bf737
- Size of remote file:
- 22 kB
- SHA256:
- ff1b8700bfe7518ab8beadbdbb5b455bbbf48f463e94ff8908678be53c90ed1c
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