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**BART Legal Spanish** (base) is a BART-like model trained on [A collection of corpora of Spanish legal domain](https://zenodo.org/record/5495529#.YZItp3vMLJw).
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BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function and (2) learning a model to reconstruct the original text.
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This model is particularly effective when fine-tuned for text generation tasks (e.g., summarization, translation) but also works well for comprehension tasks (e.g., text classification, question answering).
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## Model details ⚙
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## [Evaluation metrics](https://huggingface.co/mrm8488/bart-legal-base-es/tensorboard?params=scalars#frame) 🧾
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## Acknowledgments
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## Citation
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If you want to cite this model, you can use this:
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**BART Legal Spanish** (base) is a BART-like model trained on [A collection of corpora of Spanish legal domain](https://zenodo.org/record/5495529#.YZItp3vMLJw).
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BART is a transformer *encoder-decoder* (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function and (2) learning a model to reconstruct the original text.
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This model is particularly effective when fine-tuned for text generation tasks (e.g., summarization, translation) but also works well for comprehension tasks (e.g., text classification, question answering).
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## [Evaluation metrics](https://huggingface.co/mrm8488/bart-legal-base-es/tensorboard?params=scalars#frame) 🧾
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## Acknowledgments
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- [Narrativa](https://www.narrativa.com/)
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- [QBlocks](https://www.qblocks.cloud/)
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- [jarvislabs](https://jarvislabs.ai/)
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## Citation
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If you want to cite this model, you can use this:
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