Instructions to use keras-io/SimSiam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/SimSiam 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("keras-io/SimSiam") - Notebooks
- Google Colab
- Kaggle
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README.md
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This repo contains the trained model Self-supervised contrastive learning with SimSiam on Cifar 10 Dataset.
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Keras link: https://keras.io/examples/vision/simsiam/
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## Intended uses & limitations
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The trained model can be used as a learned representation for downstream tasks like image classification.
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This repo contains the trained model Self-supervised contrastive learning with SimSiam on Cifar 10 Dataset.
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Keras link: https://keras.io/examples/vision/simsiam/
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Full credits to https://twitter.com/RisingSayak
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## Intended uses & limitations
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The trained model can be used as a learned representation for downstream tasks like image classification.
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