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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://shivalikasingh/shiftViT-Model") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from shivalikasingh/shiftViT-Model: direct link, hf CLI and curl.
- Browser
- Download file 169 kB
-
https://huggingface.co/shivalikasingh/shiftViT-Model/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://shivalikasingh/shiftViT-Model/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/shivalikasingh/shiftViT-Model/resolve/main/keras_metadata.pb
169 kB
- Xet hash:
- 4cb0492741a8df5f9a85c9262b3eabe10f594fd953cbf38cf9cd9d2da4ace152
- Size of remote file:
- 169 kB
- SHA256:
- 5e637dcc9aca54d585018e6367b447811c28e34eeeb04cfbb3b1cc1e10a4285e
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