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The 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.
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- **Developed by:** Duc Dinh Chu
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- **Model type:** LED
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- **Language(s) (NLP):** English
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- **License:** MIT
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- **Finetuned from model [optional]:** allenai/led-base-16384
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## Citation
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**BibTeX:**
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The 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.
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## Citation
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**BibTeX:**
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