Instructions to use keras-io/supervised-contrastive-learning-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/supervised-contrastive-learning-cifar10 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/supervised-contrastive-learning-cifar10") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
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by Wauplin HF Staff - opened
README.md
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library_name: keras
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tags:
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- image-classification
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datasets:
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- cifar10
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license: apache-2.0
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A classification model trained with <a href='https://arxiv.org/abs/2004.11362' target='_blank'>**Supervised Contrastive Learning**</a> (Prannay Khosla et al.).
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The training procedure was done as seen in the example on <a href='https://keras.io/examples/vision/supervised-contrastive-learning/' target='_blank'>**keras.io**</a> by Khalid Salama.
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---
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datasets:
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- cifar10
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library_name: tf-keras
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license: apache-2.0
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tags:
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- image-classification
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---
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A classification model trained with <a href='https://arxiv.org/abs/2004.11362' target='_blank'>**Supervised Contrastive Learning**</a> (Prannay Khosla et al.).
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The training procedure was done as seen in the example on <a href='https://keras.io/examples/vision/supervised-contrastive-learning/' target='_blank'>**keras.io**</a> by Khalid Salama.
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