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    Models/Sentence Similarity/Qdrant/all_miniLM_L6_v2_with_attentions
    Sentence Similaritytransformersapache-2.0

    all_miniLM_L6_v2_with_attentions

    by Qdrant

    Identifier
    Model ID
    Qdrant/all_miniLM_L6_v2_with_attentions

    Tags

    transformersonnxbertfeature-extractionsentence-similarityenlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure

    Use all_miniLM_L6_v2_with_attentions on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, all_miniLM_L6_v2_with_attentions runs as a managed extractor inside a processing pipeline. Point a bucket of sentence similarity 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.