Instructions to use Blankyy/adaptive-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Blankyy/adaptive-norm with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Blankyy/adaptive-norm") - Notebooks
- Google Colab
- Kaggle
Save model using Keras.
Browse files- metadata.json +1 -1
- model.weights.h5 +1 -1
metadata.json
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{"keras_version": "3.10.0", "date_saved": "2025-12-24@13:
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{"keras_version": "3.10.0", "date_saved": "2025-12-24@14:13:38"}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 182256696
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d6fec8346d50f4f30300a01fe3f17d7449e27f710d4f1238a83e9e2534ee70e
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size 182256696
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