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Model Library
/OpenAI/Whisper V3 Large
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Whisper V3 Large

Ready
fireworks/whisper-v3

    Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting.

    Fireworks Features

    Serverless

    Docs

    Immediately run model on pre-configured GPUs and pay-per-token

    On-demand Deployment

    Docs

    On-demand deployments give you dedicated GPUs for Whisper V3 Large using Fireworks' reliable, high-performance system with no rate limits.

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    Whisper V3 Large FAQs

    Metadata

    State
    Ready
    Created on
    N/A
    Kind
    Unknown
    Provider
    OpenAI

    Specification

    Calibrated
    No
    Mixture-of-Experts
    No
    Parameters
    N/A

    Supported Functionality

    Fine-tuning
    Not supported
    Serverless
    Supported
    Serverless LoRA
    Not supported
    Context Length
    N/A
    Function Calling
    Not supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported