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    Models/Zero Shot Classification/AmelieSchreiber/esm2_t6_8M_UR50D_sequence_classifier_v1

    esm2_t6_8M_UR50D_sequence_classifier_v1

    by AmelieSchreiber

    Identifier
    Model ID
    AmelieSchreiber/esm2_t6_8M_UR50D_sequence_classifier_v1

    Tags

    transformerspytorchsafetensorsesmtext-classificationesm-2sequence classifierproteinsprotein language modelzero-shot-classificationenlicense:mitendpoints_compatibledeploy:azureregion:us

    Use esm2_t6_8M_UR50D_sequence_classifier_v1 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, esm2_t6_8M_UR50D_sequence_classifier_v1 runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot 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.