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    Models/Question Answering/Lisibonny/modelo_qa_beto_squad_es_pdqa
    Question Answeringtransformers

    modelo_qa_beto_squad_es_pdqa

    by Lisibonny

    Identifier
    Model ID
    Lisibonny/modelo_qa_beto_squad_es_pdqa

    Tags

    transformerssafetensorsbertquestion-answeringgenerated_from_trainerendpoints_compatibleregion:us

    Use modelo_qa_beto_squad_es_pdqa on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, modelo_qa_beto_squad_es_pdqa runs as a managed extractor inside a processing pipeline. Point a bucket of question answering data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.