Instructions to use AiresPucrs/digit-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use AiresPucrs/digit-classifier with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("AiresPucrs/digit-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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The digit-classifier model is used to recognize manuscript digits from 0 to 9.
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The model was trained with the MNIST dataset.
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## Details
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- Size: 1,256,080 parameters
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The digit-classifier model is used to recognize manuscript digits from 0 to 9.
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The model was trained with the [MNIST digits classification dataset](https://keras.io/api/datasets/mnist/).
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## Details
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- Size: 1,256,080 parameters
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