Instructions to use pemix09/paperstack_document_data_retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use pemix09/paperstack_document_data_retrieval with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("pemix09/paperstack_document_data_retrieval") - Notebooks
- Google Colab
- Kaggle
paperstack_document_data_retrieval / summarizer /tmp_multilingual_results /checkpoint-4000 /training_args.bin
- Xet hash:
- 2f812e390728867f546860766eb950a01de6195ca3eaf85d12785a49f690f98f
- Size of remote file:
- 5.97 kB
- SHA256:
- cba0dfa5b32ad0bf2a7f2d75780121277ca6c293503975c263c50c490ea6bb39
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