language: en
license: apache-2.0
longformer-base-4096
Longformer is a transformer model for long documents.
longformer-base-4096 is a BERT-like model started from the RoBERTa checkpoint and pretrained for MLM on long documents. It supports sequences of length up to 4,096.
Longformer uses a combination of a sliding window (local) attention and global attention. Global attention is user-configured based on the task to allow the model to learn task-specific representations.
Please refer to the examples in modeling_longformer.py and the paper for more details on how to set global attention.
Citing
If you use Longformer in your research, please cite Longformer: The Long-Document Transformer.
@article{Beltagy2020Longformer,
title={Longformer: The Long-Document Transformer},
author={Iz Beltagy and Matthew E. Peters and Arman Cohan},
journal={arXiv:2004.05150},
year={2020},
}
Longformer is an open-source project developed by the Allen Institute for Artificial Intelligence (AI2).
AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering.