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    Models/Automatic Speech Recognition/bond005/whisper-podlodka-turbo
    Automatic Speech Recognitiontransformersapache-2.0

    whisper-podlodka-turbo

    by bond005

    16Kdl/month
    34likes
    Identifier
    Model ID
    bond005/whisper-podlodka-turbo

    Tags

    transformerssafetensorswhisperautomatic-speech-recognitionenrudataset:mozilla-foundation/common_voice_17_0dataset:bond005/rulibrispeechdataset:bond005/podlodka_speechdataset:bond005/sberdevices_golos_10h_crowddataset:bond005/sberdevices_golos_100h_farfielddataset:bond005/taiga_speech_v2dataset:bond005/audioset-nonspeecharxiv:2212.04356base_model:openai/whisper-large-v3-turbobase_model:finetune:openai/whisper-large-v3-turbolicense:apache-2.0model-indexendpoints_compatibleregion:us

    Use whisper-podlodka-turbo on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, whisper-podlodka-turbo 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.