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-2000 /scheduler.pt
- Xet hash:
- a1054602d8c8f457de7191f063a1c32bcca4404b24717127c4076b1ccccde181
- Size of remote file:
- 1.47 kB
- SHA256:
- 8c8198d292b1fe457264ac7de5ed452fb45db2158fcf19b3741f7267dcbddda8
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