As described in Longformer: The Long-Document Transformer by Iz Beltagy, Matthew E. Peters, Arman Cohan, led-large-16384 was initialized from 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.
This model is especially interesting for long-range summarization and question answering.
This notebook shows how led-large-16384 can effectively be fine-tuned on a downstream task.
Select AutoNLP in the “Train” menu to fine-tune this model automatically.
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