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    Models/Text Classification/jamal-ibrahim/risk_assesment
    Text Classificationtransformersapache-2.0

    risk_assesment

    by jamal-ibrahim

    Identifier
    Model ID
    jamal-ibrahim/risk_assesment

    Tags

    transformerssafetensorsdistilberttext-classificationrisk-assessmentreputational-riskenesbase_model:distilbert/distilbert-base-uncasedbase_model:finetune:distilbert/distilbert-base-uncasedlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us

    Use risk_assesment 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, risk_assesment 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.