Instructions to use Synaptics/MobileNetV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Synaptics/MobileNetV2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Synaptics/MobileNetV2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17ac256b35e14f47c2a7ad4ad7892b297dd9593f09f18288fa4b2d939c35e0df
- Size of remote file:
- 14 MB
- SHA256:
- fd948552c3462d618b9bd54fd7809b69c4e9439be23b24e21601c8ab27f18867
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