Instructions to use jack-perlo/ResNet34-Gtsrb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jack-perlo/ResNet34-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/ResNet34-Gtsrb") - Notebooks
- Google Colab
- Kaggle
Upload resnet34_uint8_gtsrb.tflite with huggingface_hub
Browse files
resnet34_uint8_gtsrb.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4f3470811fc2ff0579e0dbf709c5dcf09e47336b36a6c1daf5409d033c0cd47
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size 5480112
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