NEWVectors or files. Pick a path.Start →
    Models/Token Classification/boltuix/NeuroBERT-NER
    Token Classificationtransformersapache-2.0

    NeuroBERT-NER

    by boltuix

    55Kdl/month
    27likes
    Identifier
    Model ID
    boltuix/NeuroBERT-NER

    Tags

    transformerssafetensorsberttoken-classificationnernamed-entity-recognitiontext-classificationsequence-labelingtransformernlppretrained-modeldataset-finetuningdeep-learninghuggingfaceconll2025real-time-inferenceefficient-nlphigh-accuracygpu-optimizedchatbotinformation-extractionsearch-enhancementknowledge-graphlegal-nlpmedical-nlpfinancial-nlpendataset:boltuix/conll2025-nerbase_model:boltuix/NeuroBERT-Minibase_model:finetune:boltuix/NeuroBERT-Mini

    Use NeuroBERT-NER 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, NeuroBERT-NER runs as a managed extractor inside a processing pipeline. Point a bucket of token classification 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.