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    Models/Automatic Speech Recognition/deepdml/faster-whisper-large-v3-turbo-ct2

    faster-whisper-large-v3-turbo-ct2

    by deepdml

    95Kdl/month
    217likes
    Identifier
    Model ID
    deepdml/faster-whisper-large-v3-turbo-ct2

    Tags

    ctranslate2audioautomatic-speech-recognitionenzhdeesrukofrjapttrplcanlarsvitidhifiviheukelmscsroda

    Use faster-whisper-large-v3-turbo-ct2 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, faster-whisper-large-v3-turbo-ct2 runs as a managed extractor inside a processing pipeline. Point a bucket of automatic speech recognition 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.