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:
- 2862b212485a3c66736669909dbad89f30fa2d0d1e1e6020034ff587b23db2f3
- Size of remote file:
- 7.02 MB
- SHA256:
- 1d65fde03c7ca312d9ee1691a17c2c918296cbda0dbcfea903684f2a4cd6f016
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