Instructions to use pablorodriper/vivit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pablorodriper/vivit 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://pablorodriper/vivit") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from pablorodriper/vivit: direct link, hf CLI and curl.
- Browser
- Download file 299 kB
-
https://huggingface.co/pablorodriper/vivit/resolve/main/saved_model.pb
- Command line
-
hf download hf://pablorodriper/vivit/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/pablorodriper/vivit/resolve/main/saved_model.pb
299 kB
- Xet hash:
- 69cf1948cab62ba12912ef43bad20350ebac545c1f6c9b2cb25c5e28dbde3e6a
- Size of remote file:
- 299 kB
- SHA256:
- 1a74b95dd599cb39d7ce0731b73f163c403b2299b90a055247e8c4b6172d9341
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