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_float32.tflite from Synaptics/MobileNetV2: direct link, hf CLI and curl.
- Browser
- Download file 3.8 MB
-
https://huggingface.co/Synaptics/MobileNetV2/resolve/main/MobileNetV2_float32.tflite
- Command line
-
hf download hf://Synaptics/MobileNetV2/MobileNetV2_float32.tflite
-
curl -L -o MobileNetV2_float32.tflite https://huggingface.co/Synaptics/MobileNetV2/resolve/main/MobileNetV2_float32.tflite
3.8 MB
- Xet hash:
- ea489de94b704382f3cc0df6dbf560433dfd48cca9a6b3f2925ff5652ec62224
- Size of remote file:
- 3.8 MB
- SHA256:
- d969b4a19da239e3f78814e093665363e6f32cc26418221676eda49e80f7e3e9
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