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duccd
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led-base-billsum

Text2Text Generation
Transformers
PyTorch
led
Inference Endpoints
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Model Details

Model Description

Longformer-Encoder-Decoder (LED) model is designed to address the challenge of summarizing lengthy English texts, particularly legal documents. Utilizing a local-global attention mechanism, LED is capable of handling longer input sequences efficiently, making it highly suitable for legal document summarization tasks.

Citation

BibTeX:

@misc{duc2023led,
  author = {Chu Đình Đức},
  title = {Longformer-Encoder-Decoder for Legal Document Summarization},
  year = {2023},
}
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