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README.md
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- large_spanish_corpus
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- bertin-project/mc4-es-sampled
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- oscar-corpus/OSCAR-2109
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---
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# BARTO (base-sized model)
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BARTO is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering).
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## Intended uses
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You can use the raw model for text infilling. However, the model is mainly meant to be fine-tuned on a supervised dataset.
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### How to use
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Here is how to use this model in PyTorch:
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- large_spanish_corpus
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- bertin-project/mc4-es-sampled
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- oscar-corpus/OSCAR-2109
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tags:
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- text-generation-inference
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widget:
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- text: Quito es la capita de <mask>
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example_title: "Text infilling"
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---
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# BARTO (base-sized model)
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BARTO is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering).
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## Intended uses & limitations
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You can use the raw model for text infilling. However, the model is mainly meant to be fine-tuned on a supervised dataset.
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This model does not have a slow tokenizer (BartTokenizer).
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### How to use
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Here is how to use this model in PyTorch:
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