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    Models/Token Classification/oliverguhr/fullstop-punctuation-multilang-large
    Token Classificationtransformersmit

    fullstop-punctuation-multilang-large

    by oliverguhr

    671Kdl/month
    179likes
    Identifier
    Model ID
    oliverguhr/fullstop-punctuation-multilang-large

    Tags

    transformerspytorchtfonnxsafetensorsxlm-robertatoken-classificationpunctuation predictionpunctuationendefritmultilingualdataset:wmt/europarllicense:mitendpoints_compatibleregion:us

    Use fullstop-punctuation-multilang-large 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, fullstop-punctuation-multilang-large runs as a managed extractor inside a processing pipeline. Point a bucket of token 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.