Instructions to use St4n/clapping_yamnet_20240728 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use St4n/clapping_yamnet_20240728 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("St4n/clapping_yamnet_20240728") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from St4n/clapping_yamnet_20240728: direct link, hf CLI and curl.
- Browser
- Download file 3.15 MB
-
https://huggingface.co/St4n/clapping_yamnet_20240728/resolve/main/saved_model.pb
- Command line
-
hf download hf://St4n/clapping_yamnet_20240728/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/St4n/clapping_yamnet_20240728/resolve/main/saved_model.pb
3.15 MB
- Xet hash:
- 2949d585c5df9124fb840e10a1d22b8fe44a822b68f57e9a0af6de72eb01099d
- Size of remote file:
- 3.15 MB
- SHA256:
- df952d80603fdd348895c1d49816ab57e2a2e8c0fd37c3859fb31947bf8afa16
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