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:
- 7b0643ca5132ea6cad82b74b8560e104b079c2daec780cf750993f46e83e1349
- Size of remote file:
- 4.02 MB
- SHA256:
- 0071f08139e4415ffffa8f5e87ae634490d3e1d1d94badc0249e8f085e07fe4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.