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+ ---
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+ language: en
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+ license: apache-2.0
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+ ---
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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-base-16384* was initialized from [*bart-base*](https://huggingface.co/facebook/bart-base) since both models share the exact same architecture. To be able to process 16K tokens, *bart-base*'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-base-16384* can effectively be fine-tuned on a downstream task.