Instructions to use zeromodels/tf_efficientnetv2_b2_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/tf_efficientnetv2_b2_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_efficientnetv2_b2_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_efficientnetv2_b2_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b50a4b064ca7576d9548a57a8c5ce755152e15e4d2bfcd618a36519daf5ba7a
- Size of remote file:
- 41.6 MB
- SHA256:
- 04bdb3c0a010090ad71bf938d14f44ebc65fdd60f3d3554f55acda42292a2c29
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