Instructions to use active-learning/mnist_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use active-learning/mnist_classifier 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://active-learning/mnist_classifier") - Notebooks
- Google Colab
- Kaggle
Commit ·
21f92b2
1
Parent(s): f4d56f8
Push Keras model using huggingface_hub.
Browse files- fingerprint.pb +2 -2
- keras_metadata.pb +1 -1
- saved_model.pb +2 -2
- variables/variables.data-00000-of-00001 +0 -0
- variables/variables.index +0 -0
fingerprint.pb
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keras_metadata.pb
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saved_model.pb
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variables/variables.data-00000-of-00001
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variables/variables.index
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