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  This is a **RoBERTa-base** model trained from scratch in Spanish.
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- The training dataset is mc4 (1) subsampling documents to a total of about 50 million examples. Sampling is random.
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  This model has been trained for 250.000 steps.
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- (1) https://huggingface.co/datasets/bertin-project/mc4-es-sampled
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: es
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+ license: CC-BY 4.0
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+ tags:
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+ - spanish
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+ - roberta
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+ pipeline_tag: fill-mask
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+ widget:
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+ - text: "Fui a la librería a comprar un <mask>."
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+ ---
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+
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  This is a **RoBERTa-base** model trained from scratch in Spanish.
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+ The training dataset is [mc4](https://huggingface.co/datasets/bertin-project/mc4-es-sampled ) subsampling documents to a total of about 50 million examples. Sampling is random.
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  This model has been trained for 250.000 steps.
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+ This is part of the
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+ [Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), organised by [HuggingFace](https://huggingface.co/) and TPU usage sponsored by Google.
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+
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+
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+ ## Team members
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+
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+ - Eduardo González ([edugp](https://huggingface.co/edugp))
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+ - Javier de la Rosa ([versae](https://huggingface.co/versae))
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+ - Manu Romero ([mrm8488](https://huggingface.co/))
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+ - María Grandury ([mariagrandury](https://huggingface.co/))
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+ - Pablo González de Prado ([Pablogps](https://huggingface.co/Pablogps))
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+ - Paulo Villegas ([paulo](https://huggingface.co/paulo))