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 model.png from shivalikasingh/shiftViT-Model: direct link, hf CLI and curl.
- Browser
- Download file 2.36 kB
-
https://huggingface.co/shivalikasingh/shiftViT-Model/resolve/main/model.png
- Command line
-
hf download hf://shivalikasingh/shiftViT-Model/model.png
-
curl -L -o model.png https://huggingface.co/shivalikasingh/shiftViT-Model/resolve/main/model.png
2.36 kB

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