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    Models/Sentence Similarity/gmunkhtur/paraphrase-mongolian-minilm-mn_v2
    Sentence Similaritysentence-transformers

    paraphrase-mongolian-minilm-mn_v2

    by gmunkhtur

    Identifier
    Model ID
    gmunkhtur/paraphrase-mongolian-minilm-mn_v2

    Tags

    sentence-transformerssafetensorsbertsentence-similarityfeature-extractiongenerated_from_trainerdataset_size:77201loss:CosineSimilarityLossarxiv:1908.10084base_model:sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2base_model:finetune:sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2model-indextext-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure

    Use paraphrase-mongolian-minilm-mn_v2 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, paraphrase-mongolian-minilm-mn_v2 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.