|
--- |
|
language: |
|
- es |
|
license: mit |
|
widget: |
|
- text: "Manuel Romero ha creado con el equipo de BERTIN un modelo que procesa documentos <mask> largos." |
|
tags: |
|
- Long documents |
|
- longformer |
|
- bertin |
|
- spanish |
|
datasets: |
|
- spanish_large_corpus |
|
|
|
--- |
|
|
|
# longformer-base-4096-spanish |
|
|
|
## [Longformer](https://arxiv.org/abs/2004.05150) is a Transformer model for long documents. |
|
|
|
`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! |
|
|
|
|
|
|
|
**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. |
|
|
|
|
|
This model was made following the research done by [Iz Beltagy and Matthew E. Peters and Arman Cohan](https://arxiv.org/abs/2004.05150). |
