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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Synaptics/MobileNetV2") - Notebooks
- Google Colab
- Kaggle
Download MobileNetV2_float16.mlir from Synaptics/MobileNetV2: direct link, hf CLI and curl.
- Browser
- Download file 14 MB
-
https://huggingface.co/Synaptics/MobileNetV2/resolve/main/MobileNetV2_float16.mlir
- Command line
-
hf download hf://Synaptics/MobileNetV2/MobileNetV2_float16.mlir
-
curl -L -o MobileNetV2_float16.mlir https://huggingface.co/Synaptics/MobileNetV2/resolve/main/MobileNetV2_float16.mlir
14 MB
- Xet hash:
- 17beb8df2e1af15b6e289dddb19ac7a9a15a09ef415351274a10dadc425b59a2
- Size of remote file:
- 14 MB
- SHA256:
- d1eb64f41ed3bef9118a7ed1d5883ed8f13c695e914ffdf77d2d2a7e78a5063a
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