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    Models/Zero Shot Image Classification/intfloat/mmE5-mllama-11b-instruct

    mmE5-mllama-11b-instruct

    by intfloat

    123dl/month
    20likes
    Identifier
    Model ID
    intfloat/mmE5-mllama-11b-instruct

    Tags

    transformerssafetensorsmllamaimage-text-to-textmmebsentence-transformerszero-shot-image-classificationenarzhkorupltrfrarxiv:2502.08468license:mittext-generation-inferenceendpoints_compatibleregion:us

    Use mmE5-mllama-11b-instruct 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, mmE5-mllama-11b-instruct runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot image 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.