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    Models/Text Classification/vectara/hallucination_evaluation_model
    Text Classificationtransformersapache-2.0

    hallucination_evaluation_model

    by vectara

    218Kdl/month
    359likes
    Identifier
    Model ID
    vectara/hallucination_evaluation_model

    Tags

    transformerssafetensorsHHEMv2Configtext-classificationcustom_codeenarxiv:2205.12854arxiv:2401.00396arxiv:2303.15621base_model:google/flan-t5-basebase_model:finetune:google/flan-t5-basedoi:10.57967/hf/3240license:apache-2.0region:us

    Use hallucination_evaluation_model on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, hallucination_evaluation_model runs as a managed extractor inside a processing pipeline. Point a bucket of text classification 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.