Instructions to use ebylmz/architects-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ebylmz/architects-models 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://ebylmz/architects-models") - Notebooks
- Google Colab
- Kaggle
Commit History
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reload architects-all models
ebylmz9d04e3e
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final models
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add new state of art models
ebylmz91b6f3b
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architectural styles classifier
ebylmz319e7a6 -
add base classifier for all architects
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rename 82% acc model
ebylmz3c4bc64
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add 80% acc efficientnet model
ebylmzf0c6ecb
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add initial models
ebylmz7a41d3f -
initial commit
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