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README.md
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---
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language:
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- es
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license: mit
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widget:
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- text: "Manuel Romero ha creado con el equipo de BERTIN un modelo que procesa documentos <mask> largos."
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tags:
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- longformer
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- bertin
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- spanish
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datasets:
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- spanish_large_corpus
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---
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# longformer-base-4096-spanish
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## [Longformer](https://arxiv.org/abs/2004.05150) is a Transformer model for long documents.
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`longformer-base-4096` is a BERT-like model started from the RoBERTa checkpoint (**BERTIN** in this case) and pre-trained for *MLM* on long documents (from BETO's `all_wikis`). It supports sequences of length up to 4,096!
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**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.
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This model was made following the research done by [Iz Beltagy and Matthew E. Peters and Arman Cohan](https://arxiv.org/abs/2004.05150).
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