Instructions to use akinoshi/mnist-framework-backoff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use akinoshi/mnist-framework-backoff with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://akinoshi/mnist-framework-backoff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21385c579126cce1c11177f32245e72fa79fd3c7945191d67436749aa9691ee3
- Size of remote file:
- 1.34 MB
- SHA256:
- 77b9e2a906113480f64cb269544f726075fc8e72c9599052d109014de159290b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.