Instructions to use joergjan/landscapes_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use joergjan/landscapes_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("joergjan/landscapes_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c370a347f51f11b41879b08dfa7e95a9ef831a39d5227731c76e7d4f4b32cfd
- Size of remote file:
- 4.87 MB
- SHA256:
- 7bd5150090ed3b717159f9a03e41caaadf3b7a5a03126654324f88009cddb3ed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.