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    Models/Text Classification/nateraw/bert-base-uncased-emotion
    Text Classificationtransformersapache-2.0

    bert-base-uncased-emotion

    by nateraw

    11Kdl/month
    13likes
    Identifier
    Model ID
    nateraw/bert-base-uncased-emotion

    Tags

    transformerspytorchjaxberttext-classificationemotionendataset:emotionlicense:apache-2.0endpoints_compatibleregion:us

    Use bert-base-uncased-emotion 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, bert-base-uncased-emotion 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.