Instructions to use fatzetob/Ponti_Object_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use fatzetob/Ponti_Object_Classification 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("fatzetob/Ponti_Object_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cf75616be447b6673287d2ec09b7090b5835af3a1952737aaba01228abe526c
- Size of remote file:
- 57 Bytes
- SHA256:
- d4ef92d5477640805e24bfbd7d2de680c6ee74128ccc6c477e811e2cf80a9c09
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