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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

    Identifier
    Model ID
    Isotonic/deberta-v3-base_finetuned_ai4privacy_v2

    Deploy deberta-v3-base_finetuned_ai4privacy_v2

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    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.

    Open Studio

    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.