Instructions to use Bhavi23/Custom_CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Bhavi23/Custom_CNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Bhavi23/Custom_CNN") - Notebooks
- Google Colab
- Kaggle
Upload model_checkpoint.weights.h5
Browse files
model_checkpoint.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee3765df5a44c9866485621f98f4fe0191fc59204be56347be3d81623b83cfd3
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size 793060
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