Shypd.aiThe largest open index of AI toolsWhisper-Finetune is an open-source audio & music tool that fine-tunes the Whisper speech recognition model. It supports training without timestamp data, with timestamp data, and without speech data, accelerating inference and supporting Web, Windows, and Android deployment.
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Whisper-Finetune is an open-source project designed to fine-tune the Whisper speech recognition model. It offers flexible training options, including support for data with or without timestamps, and even training without speech data. The tool significantly accelerates inference processes and provides versatile deployment capabilities across Web, Windows desktop, and Android platforms. It leverages techniques like Lora for fine-tuning and supports CTranslate2 and GGML for accelerated inference. The project includes detailed instructions for environment setup, data preparation, single and multi-GPU training, model merging, evaluation, and various prediction interfaces, making it a comprehensive solution for customizing and deploying Whisper models.
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