Instructions to use Wauplin/mnist_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Wauplin/mnist_example with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Wauplin/mnist_example") - Notebooks
- Google Colab
- Kaggle
Download metadata.json from Wauplin/mnist_example: direct link, hf CLI and curl.
- Browser
- Download file 73 Bytes
-
https://huggingface.co/Wauplin/mnist_example/resolve/1b7a34049511ab70ccf6f433dfd92bf0feef0b2d/metadata.json
- Command line
-
hf download hf://Wauplin/mnist_example@1b7a34049511ab70ccf6f433dfd92bf0feef0b2d/metadata.json
-
curl -L -o metadata.json https://huggingface.co/Wauplin/mnist_example/resolve/1b7a34049511ab70ccf6f433dfd92bf0feef0b2d/metadata.json
73 Bytes
| { | |
| "keras_version": "3.3.3", | |
| "date_saved": "2024-06-14@10:16:17" | |
| } |