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
Download DigitClassifier.keras from lizardwine/DigitClassifier: direct link, hf CLI and curl.
- Browser
- Download file 6.66 MB
-
https://huggingface.co/lizardwine/DigitClassifier/resolve/main/DigitClassifier.keras
- Command line
-
hf download hf://lizardwine/DigitClassifier/DigitClassifier.keras
-
curl -L -o DigitClassifier.keras https://huggingface.co/lizardwine/DigitClassifier/resolve/main/DigitClassifier.keras
6.66 MB
- Xet hash:
- e690c5575a8a7abeece61b573b0910772cd5098b3ee3763a6943ce7f377990a9
- Size of remote file:
- 6.66 MB
- SHA256:
- 133510bb141465434731f34fad016e877180125493beab1fe835794fe0bdbe47
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