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
Upload kaggle.tflite
Browse filesAdd kaggle version of quantized model
Taken from https://www.kaggle.com/models/tensorflow/mobilenet-v2/tfLite/1-0-224-quantized
- kaggle.tflite +3 -0
kaggle.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:f08d447cde49b4e0446428aa921aff0a14ea589fa9c5817b31f83128e9a43c1d
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size 3577760
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