NEWVectors or files. Pick a path.Start →
    Models/Text Classification/j-hartmann/emotion-english-roberta-large

    emotion-english-roberta-large

    by j-hartmann

    21Kdl/month
    18likes
    Identifier
    Model ID
    j-hartmann/emotion-english-roberta-large

    Tags

    transformerspytorchrobertatext-classificationsentimentemotiontwitterredditentext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us

    Use emotion-english-roberta-large 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, emotion-english-roberta-large 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.