metadata
language:
- hi
tags:
- audio
- automatic-speech-recognition
license: cc-by-4.0
library_name: ctranslate2
Whisper-medium-hindi model for CTranslate2
This repository contains the conversion of collabora/whisper-medium-hindi to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
Example
from faster_whisper import WhisperModel
model = WhisperModel("collabora/faster-whisper-medium-hindi")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))