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    Models/Depth Estimation/nagayama0706/natural_science_model
    Depth Estimationtransformersapache-2.0

    natural_science_model

    by nagayama0706

    Identifier
    Model ID
    nagayama0706/natural_science_model

    Tags

    transformerssafetensorsmistraltext-generationmergemergekitlazymergekitgoogle-bert/bert-base-uncasedKM4STfulltext/SSCI-SciBERT-e4depth-estimationbase_model:KM4STfulltext/SSCI-SciBERT-e4base_model:merge:KM4STfulltext/SSCI-SciBERT-e4base_model:google-bert/bert-base-uncasedbase_model:merge:google-bert/bert-base-uncasedlicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us

    Use natural_science_model 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, natural_science_model runs as a managed extractor inside a processing pipeline. Point a bucket of depth estimation 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.