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
v2.1.0
Browse filesupdate the generated .mlir with new tosa-converter-for-tflite
- MobileNetV2_float16.mlir +2 -2
- MobileNetV2_float32.mlir +0 -0
- MobileNetV2_int16.mlir +0 -0
- MobileNetV2_int8.mlir +0 -0
MobileNetV2_float16.mlir
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