Instructions to use ClementViaene/DamagedCarClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ClementViaene/DamagedCarClassification 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("ClementViaene/DamagedCarClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 305f7a1c5976b7bb799606fec9e06912287bcf6f65a572e4a9c96a12a7c3aa87
- Size of remote file:
- 605 kB
- SHA256:
- 16532dc07ff720de7e438cbb76eb2735a9463e77a1f2fc8afd5363a0e811fe7b
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