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-9150 /optimizer.pt
- Xet hash:
- 4108505be4ea6e969932eb45f4fe964f2b19134c51b9af05b7126136b798d927
- Size of remote file:
- 616 MB
- SHA256:
- 7a29a869dd01b8721d30973d8f7d12b6c082607bdb83241b68fe91754a067a36
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