Instructions to use zeromodels/tf_efficientnetv2_m_in21k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/tf_efficientnetv2_m_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_m_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_m_in21k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1434de1a3669e990d728c16a3248f3c66f57c69d3c07c6bfe553abbd329a536d
- Size of remote file:
- 326 MB
- SHA256:
- f6f7e1264250c8c65b566a4b1b240cbc3370d9c126f2bf011a87d4f0ced4c199
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