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Faster Whisper Large V3 Ru Podlodka

Developed by bzikst
This is the ctranslate2 converted version of bond005/whisper-large-v3-ru-podlodka, optimized for Russian speech recognition tasks.
Downloads 23
Release Time : 6/25/2024

Model Overview

This model is a Russian automatic speech recognition model based on the Whisper architecture, converted with ctranslate2 to improve inference efficiency, supporting Russian speech-to-text tasks.

Model Features

Efficient inference
Optimized through ctranslate2 conversion, offering faster inference speed compared to the original Whisper model
Russian optimization
Specially trained and optimized for Russian speech recognition tasks
Quantization support
Supports float16 quantization, reducing memory usage while maintaining accuracy

Model Capabilities

Russian speech recognition
Long audio transcription
Real-time speech-to-text

Use Cases

Speech transcription
Meeting minutes
Automatically transcribe Russian meeting recordings into text records
Media subtitle generation
Automatically generate subtitles for Russian video content
Voice assistant
Russian voice command recognition
Implement Russian voice command recognition in smart devices
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