# Spanish Q&A

This is a Spanish Longformer-based model fine-tuned on the SQAC dataset for question-answering tasks, supporting text sequences up to 4,096 tokens in length.

A Spanish Q&A model optimized via distillation from BETO, more lightweight and efficient than the standard version

A RoBERTa-based Spanish Q&A model fine-tuned on the squad_es dataset, suitable for Spanish reading comprehension tasks

BETO is a BERT model trained on a large Spanish corpus, this version is fine-tuned for Spanish question answering tasks

A Q&A system model fine-tuned on the SQAC dataset based on the Spanish BERT model

This model is a Spanish Q&A model fine-tuned on the SQAC dataset based on roberta-base-bne

This is a RoBERTa large model optimized for Spanish question answering tasks, trained on a large corpus from the Spanish National Library

Spanish Q&A model, fine-tuned from roberta-base-bne, pre-trained on 570GB of text data from the Spanish National Library

This model is a fine-tuned version of the Spanish BERT model on the SQAC question-answering dataset, specializing in Spanish Q&A tasks