Instructions to use haipradana/tracko-movinet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use haipradana/tracko-movinet with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("haipradana/tracko-movinet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29ac26005037033e1bd19c9dcbb24e8df2ca4b93c6433e60c426cfccaa24913e
- Size of remote file:
- 392 kB
- SHA256:
- 4e839fc925e1cfd7f734e8bac405cf573a5b34ad471d5cd8ebd326ce10fa9f0b
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