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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://active-learning/mnist_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b732d7d375eba275b2f381480da6265d82d33ea07ff4673f188b148d29ec875
- Size of remote file:
- 91 kB
- SHA256:
- b29b63738f86c35b2c7902dbd0e925e11f12fa5c7ddd76f6ceca269979717b1f
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