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_EfficientNetV2S_vr20_augcutmix_seed42
Browse files
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oid sha256:51d64a606844a900bfa3d9b2d5684994464c591e46a7a4dc07404e3329bac06c
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size 137907542
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