NEWVectors or files. Pick a path.Start →
    Models/Sentence Similarity/isuruwijesiri/all-MiniLM-L6-v2-code-search-512
    Sentence Similaritysentence-transformersapache-2.0

    all-MiniLM-L6-v2-code-search-512

    by isuruwijesiri

    Identifier
    Model ID
    isuruwijesiri/all-MiniLM-L6-v2-code-search-512

    Tags

    sentence-transformersonnxsafetensorsbertfeature-extractionsentence-similaritycode-searchcode-embeddingscodedataset:sentence-transformers/codesearchnetbase_model:sentence-transformers/all-MiniLM-L6-v2base_model:quantized:sentence-transformers/all-MiniLM-L6-v2license:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us

    Use all-MiniLM-L6-v2-code-search-512 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, all-MiniLM-L6-v2-code-search-512 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.