Instructions to use longdnk20/CNN_MNIST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use longdnk20/CNN_MNIST 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://longdnk20/CNN_MNIST") - Notebooks
- Google Colab
- Kaggle
Download latest_model.keras from longdnk20/CNN_MNIST: direct link, hf CLI and curl.
- Browser
- Download file 2.75 MB
-
https://huggingface.co/longdnk20/CNN_MNIST/resolve/main/latest_model.keras
- Command line
-
hf download hf://longdnk20/CNN_MNIST/latest_model.keras
-
curl -L -o latest_model.keras https://huggingface.co/longdnk20/CNN_MNIST/resolve/main/latest_model.keras
2.75 MB
- Xet hash:
- 1c6b14223126d6198ec7673564e7dc7e9f215a143e13298a9d38740124fb9dda
- Size of remote file:
- 2.75 MB
- SHA256:
- feffe013ae2c0e0c237d4d28ba101857ef2b26a819ce6c44dcf8acbf6459c40f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.