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    Models/Text Classification/SamLowe/roberta-base-go_emotions
    Text Classificationtransformersmit

    roberta-base-go_emotions

    by SamLowe

    Identifier
    Model ID
    SamLowe/roberta-base-go_emotions

    Tags

    transformerspytorchsafetensorsrobertatext-classificationemotionsmulti-class-classificationmulti-label-classificationendataset:go_emotionsdoi:10.57967/hf/3548license:mittext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us

    Use roberta-base-go_emotions 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, roberta-base-go_emotions 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.