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:
- 379d82cc415eedfcd485c3dc6ec63f4b0fc571ec2c5e63ce09f85299dde59349
- Size of remote file:
- 5.03 MB
- SHA256:
- 6451d1d1089aa4c5d29937199db32777929d6063ed5000cb1d29cb2ce716a204
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.