Instructions to use lizardwine/DigitClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lizardwine/DigitClassifier 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://lizardwine/DigitClassifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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🎯 **Purpose:** To classify handwritten digits from images with high accuracy
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☁️ **Download:**
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🎯 **Purpose:** To classify handwritten digits from images with high accuracy
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☁️ **Download:** Click [here](https://huggingface.co/lizardwine/DigitClassifier/resolve/main/DigitClassifier.keras?download=true) to download
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