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    Models/Token Classification/Isotonic/deberta-v3-base_finetuned_ai4privacy_v2
    Token Classificationtransformerscc-by-nc-4.0

    deberta-v3-base_finetuned_ai4privacy_v2

    by Isotonic

    19Kdl/month
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    Identifier
    Model ID
    Isotonic/deberta-v3-base_finetuned_ai4privacy_v2

    Tags

    transformersonnxsafetensorsdeberta-v2token-classificationgenerated_from_trainerendataset:ai4privacy/pii-masking-200kdataset:Isotonic/pii-masking-200kbase_model:microsoft/deberta-v3-basebase_model:quantized:microsoft/deberta-v3-baselicense:cc-by-nc-4.0endpoints_compatibleregion:us

    Use deberta-v3-base_finetuned_ai4privacy_v2 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, deberta-v3-base_finetuned_ai4privacy_v2 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.