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    Models/Text Classification/opendatalab/meta-rater-reasoning-rating
    Text Classificationtransformersmit

    meta-rater-reasoning-rating

    by opendatalab

    Identifier
    Model ID
    opendatalab/meta-rater-reasoning-rating

    Tags

    transformerssafetensorsmodernberttext-classificationendataset:cerebras/SlimPajama-627Barxiv:2504.14194base_model:answerdotai/ModernBERT-basebase_model:finetune:answerdotai/ModernBERT-baselicense:mittext-embeddings-inferenceendpoints_compatibleregion:us

    Use meta-rater-reasoning-rating on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, meta-rater-reasoning-rating 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.