Instructions to use apwic/document-classification-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use apwic/document-classification-cnn with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("apwic/document-classification-cnn") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from apwic/document-classification-cnn: direct link, hf CLI and curl.
- Browser
- Download file 239 kB
-
https://huggingface.co/apwic/document-classification-cnn/resolve/main/saved_model.pb
- Command line
-
hf download hf://apwic/document-classification-cnn/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/apwic/document-classification-cnn/resolve/main/saved_model.pb
239 kB
- Xet hash:
- c59bfa2a8733e790b82765c6474593e9ce3da7208b810206ae9dc02b8ebc48b5
- Size of remote file:
- 239 kB
- SHA256:
- 58e9e0c44f9a95af737298e651cbb8d3332d487428f63d8180ac23b0a9a35531
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