Instructions to use zeromodels/tf_efficientnet_b7_aa_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/tf_efficientnet_b7_aa_in1k with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/tf_efficientnet_b7_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_b7_aa_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f300eb16265fcac7f8d1d7dc891ec3e9b11b13a5b3f1f1b054cbd671bbed948
- Size of remote file:
- 269 MB
- SHA256:
- 9f757a8f1a624ccf1e63728895570eb3b977306bce543a2465e1048b1046c787
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