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    Models/Token Classification/KoichiYasuoka/roberta-base-thai-spm-upos
    Token Classificationtransformersapache-2.0

    roberta-base-thai-spm-upos

    by KoichiYasuoka

    206Kdl/month
    2likes
    Identifier
    Model ID
    KoichiYasuoka/roberta-base-thai-spm-upos

    Tags

    transformerspytorchrobertatoken-classificationthaiposwikipediadependency-parsingthdataset:universal_dependenciesbase_model:KoichiYasuoka/roberta-base-thai-spmbase_model:finetune:KoichiYasuoka/roberta-base-thai-spmlicense:apache-2.0endpoints_compatibleregion:us

    Use roberta-base-thai-spm-upos 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, roberta-base-thai-spm-upos 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.