NEWVectors or files. Pick a path.Start →
    Models/Zero Shot Classification/adriansanz/test23042024_v2
    Zero Shot Classificationtransformersapache-2.0

    test23042024_v2

    by adriansanz

    Identifier
    Model ID
    adriansanz/test23042024_v2

    Tags

    transformerstensorboardsafetensorsrobertatext-classificationgenerated_from_trainerzero-shot-classificationbase_model:projecte-aina/roberta-base-ca-v2-cased-tebase_model:finetune:projecte-aina/roberta-base-ca-v2-cased-telicense:apache-2.0endpoints_compatibleregion:us

    Use test23042024_v2 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, test23042024_v2 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.