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language: en |
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license: apache-2.0 |
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## Introduction |
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[Allenai's Longformer Encoder-Decoder (LED)](https://github.com/allenai/longformer#longformer). |
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As described in [Longformer: The Long-Document Transformer](https://arxiv.org/pdf/2004.05150.pdf) by Iz Beltagy, Matthew E. Peters, Arman Cohan, *led-large-16384* was initialized from [*bart-large*](https://huggingface.co/facebook/bart-large) since both models share the exact same architecture. To be able to process 16K tokens, *bart-large*'s position embedding matrix was simply copied 16 times. |
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This model is especially interesting for long-range summarization and question answering. |
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## Fine-tuning for down-stream task |
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[This notebook](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing) shows how *led-large-16384* can effectively be fine-tuned on a downstream task. |
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