readme: ---
  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).
  
  ## Citation
  If you want to cite this model you can use this:
  
  ```bibtex
  @misc{mromero2022longformer-base-4096-spanish,
    title={Spanish LongFormer by Manuel Romero},
    author={Romero, Manuel},
    publisher={Hugging Face},
    journal={Hugging Face Hub},
    howpublished={\url{https://huggingface.co/mrm8488/longformer-base-4096-spanish}},
    year={2022}
  }
  ```