Instructions to use zeromodels/tf_efficientnet_b3_aa_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/tf_efficientnet_b3_aa_in1k with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/tf_efficientnet_b3_aa_in1k") - Notebooks
- Google Colab
- Kaggle
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README.md
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## ***See [our collection](https://huggingface.co/collections/zeromodels/efficientnet-
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# Run EfficientNet with Keras 3: JAX, PyTorch, or TensorFlow
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[](https://github.com/IMvision12/ZeroModels) [](https://imvision12.github.io/ZeroModels/classification_backbones/) [](https://huggingface.co/collections/zeromodels/efficientnet-
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# zeromodels/tf_efficientnet_b3_aa_in1k
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- tf
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## ***See [our collection](https://huggingface.co/collections/zeromodels/efficientnet-6a8eae835b72b040c1fb77b3) for all versions of EfficientNet.***
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# Run EfficientNet with Keras 3: JAX, PyTorch, or TensorFlow
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[](https://github.com/IMvision12/ZeroModels) [](https://imvision12.github.io/ZeroModels/classification_backbones/) [](https://huggingface.co/collections/zeromodels/efficientnet-6a8eae835b72b040c1fb77b3)
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# zeromodels/tf_efficientnet_b3_aa_in1k
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