Instructions to use shivalikasingh/video-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shivalikasingh/video-classification 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/video-classification") - Notebooks
- Google Colab
- Kaggle
Download model.png from shivalikasingh/video-classification: direct link, hf CLI and curl.
- Browser
- Download file 20 kB
-
https://huggingface.co/shivalikasingh/video-classification/resolve/main/model.png
- Command line
-
hf download hf://shivalikasingh/video-classification/model.png
-
curl -L -o model.png https://huggingface.co/shivalikasingh/video-classification/resolve/main/model.png
20 kB

- Xet hash:
- d9d4e7efef8eb0e999e5fd3f59a0badc4ec7212cbf93cd886606f996fc52931a
- Size of remote file:
- 20 kB
- SHA256:
- 4f06c250b1a2d3a7479f3dae5efc123ff64160de387e9923308c5359fffc077c
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