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    Models/Question Answering/rajeshthangaraj1/uae_rule_book_QA_assistant
    Question Answeringtransformers

    uae_rule_book_QA_assistant

    by rajeshthangaraj1

    Identifier
    Model ID
    rajeshthangaraj1/uae_rule_book_QA_assistant

    Tags

    transformerssafetensorslfm2text-generationUAEBANKRuleBOOKquestion-answeringendataset:rajeshthangaraj1/uae-banking-rulebook-qabase_model:unsloth/LFM2-1.2Bbase_model:finetune:unsloth/LFM2-1.2Bendpoints_compatibleregion:us

    Use uae_rule_book_QA_assistant 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, uae_rule_book_QA_assistant 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.