NEWVectors or files. Pick a path.Start →
    Models/Text Classification/crystina-z/monoELECTRA_LCE_nneg31

    monoELECTRA_LCE_nneg31

    by crystina-z

    Identifier
    Model ID
    crystina-z/monoELECTRA_LCE_nneg31

    Tags

    transformerspytorchtfelectratext-classificationendpoints_compatibledeploy:azureregion:us

    Use monoELECTRA_LCE_nneg31 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, monoELECTRA_LCE_nneg31 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.