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    Models/Feature Extraction/jinaai/jina-embeddings-v2-base-code
    Feature Extractionsentence-transformersapache-2.0

    jina-embeddings-v2-base-code

    by jinaai

    348Kdl/month
    141likes
    Identifier
    Model ID
    jinaai/jina-embeddings-v2-base-code

    Tags

    sentence-transformerspytorchonnxsafetensorsbertfill-maskfeature-extractionsentence-similaritymtebtransformerstransformers.jscustom_codeendataset:allenai/c4arxiv:2108.12409arxiv:2310.19923license:apache-2.0text-embeddings-inferenceregion:eu

    Use jina-embeddings-v2-base-code 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, jina-embeddings-v2-base-code runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.