Instructions to use muhalwan/catndog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use muhalwan/catndog with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://muhalwan/catndog") - Notebooks
- Google Colab
- Kaggle
Upload catdog_best.keras
Browse files- catdog_best.keras +3 -0
catdog_best.keras
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version https://git-lfs.github.com/spec/v1
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oid sha256:144c173f97a1c34b1f289a0182e4f90be2433ed355d9677d31dea60b43bc2db8
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size 24681903
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