Instructions to use zeromodels/tf_efficientnetv2_s_in21k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/tf_efficientnetv2_s_in21k 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_efficientnetv2_s_in21k 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_efficientnetv2_s_in21k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79e2c60d1f5d1840b9b02e7de25e0d54662ecbcf65befc35dd0e0d950c1fb74f
- Size of remote file:
- 195 MB
- SHA256:
- 53d72f60ba4509ec45ffca2e9167f82d481f823a5cee5548eac441eb742bbe7c
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