Instructions to use neineit/resnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use neineit/resnet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://neineit/resnet") - Notebooks
- Google Colab
- Kaggle
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resnet.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:668078a50c66b86d5b0bb6bc0d3e25bc8569345ee982eac4ac6dd228c1668e4f
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size 46755270
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