Instructions to use innat/videoswin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use innat/videoswin 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("innat/videoswin") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`. (#1)
Browse files- Set `library_name` to `tf-keras`. (01fd5de6a1c53f5cc9a7d50565e3ca073ab196b2)
Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>
README.md
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license: mit
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metrics:
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- accuracy
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library_name: keras
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pipeline_tag: video-classification
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tags:
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- videoswin
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---
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library_name: tf-keras
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license: mit
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metrics:
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- accuracy
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pipeline_tag: video-classification
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tags:
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- videoswin
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