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Faster Distil Whisper Large V2
This is a distilled version of the automatic speech recognition (ASR) model based on the Whisper architecture, designed for efficient inference and suitable for English speech-to-text tasks.
Downloads 1,336
Release Time : 1/19/2024
Model Overview
This model is a distilled version of the Whisper Large v2 model, retaining the high accuracy of the original while significantly improving inference speed, making it suitable for real-time speech recognition applications.
Model Features
Efficient Inference
Optimized through knowledge distillation techniques, significantly improving inference speed compared to the original Whisper model.
High Accuracy
Retains the recognition accuracy of the original Whisper Large v2 model.
CTranslate2 Compatibility
Converted to CTranslate2 format for use with efficient inference libraries like faster-whisper.
FP16 Quantization
Model weights saved in FP16 format, balancing precision and performance requirements.
Model Capabilities
English Speech Recognition
Long Audio Transcription
Real-Time Speech-to-Text
Use Cases
Speech Transcription
Automated Meeting Minutes
Automatically convert English meeting recordings into text transcripts.
Efficiently generates searchable meeting transcripts.
Podcast Transcription
Automatically convert English podcast content into text scripts.
Quickly generates editable and publishable text content.
Assistive Technology
Real-Time Captioning
Provide real-time captions for English videos or live streams.
Enhances content accessibility.
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