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    Models/Text Classification/domenicrosati/deberta-v3-xsmall-beavertails-harmful-qa-classifier
    Text Classificationtransformersmit

    deberta-v3-xsmall-beavertails-harmful-qa-classifier

    by domenicrosati

    Identifier
    Model ID
    domenicrosati/deberta-v3-xsmall-beavertails-harmful-qa-classifier

    Tags

    transformerssafetensorsdeberta-v2text-classificationgenerated_from_trainerbase_model:microsoft/deberta-v3-xsmallbase_model:finetune:microsoft/deberta-v3-xsmalllicense:mittext-embeddings-inferenceendpoints_compatibleregion:us

    Use deberta-v3-xsmall-beavertails-harmful-qa-classifier 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-xsmall-beavertails-harmful-qa-classifier 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.