Instructions to use sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN 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("sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a90fcb7bd3e1a828c12139efdd3fc40129d09ce9e70db3664982a624601895cd
- Size of remote file:
- 1.6 MB
- SHA256:
- 3af36e383e3f4f86b099b8d6516c17a272c254289183db771f06d27c8443ec38
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