Instructions to use ZenithsArch/Avalanche_Classification_Weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ZenithsArch/Avalanche_Classification_Weights 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://ZenithsArch/Avalanche_Classification_Weights") - Notebooks
- Google Colab
- Kaggle
Upload model: best_ConvNeXtTiny_vr20_augstandard_seed42_stage1_head.weights
Browse files
models/best_ConvNeXtTiny_vr20_augstandard_seed42_stage1_head.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b38df39b4dec94ffc98c416ee60a2a7590e3a478691944b54c3939b65394e93
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size 341530512
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