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    Models/Text Classification/himel7/bias-detector
    Text Classificationtransformersapache-2.0

    bias-detector

    by himel7

    Identifier
    Model ID
    himel7/bias-detector

    Tags

    transformerssafetensorsrobertatext-classificationBias DetectionText Classificationendataset:mediabiasgroup/BABEarxiv:2505.13010base_model:FacebookAI/roberta-basebase_model:finetune:FacebookAI/roberta-basedoi:10.57967/hf/5345license:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us

    Use bias-detector 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, bias-detector 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.