Instructions to use jack-perlo/MobileNetV2-Gtsrb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jack-perlo/MobileNetV2-Gtsrb with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://jack-perlo/MobileNetV2-Gtsrb") - Notebooks
- Google Colab
- Kaggle
Upload mobilenetV2_uint8_gtsrb.tflite with huggingface_hub
Browse files
mobilenetV2_uint8_gtsrb.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:58157bf34a72137bb9aa8d6b927a6f6728ae68037c103bced17367a402c59f17
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size 3558120
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