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