Instructions to use ClementViaene/WildfireHouseClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ClementViaene/WildfireHouseClassification 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/WildfireHouseClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 171ecf2841d7d9bb54d1c186842a76b048ba488d96f2d29672324baa81a3073c
- Size of remote file:
- 57 Bytes
- SHA256:
- 35a15df3ca269b5a074f51d03981d60d8e0de80c3931b6af422f39b7c791fbc7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.