| ---
|
| language:
|
| - hi
|
| tags:
|
| - audio
|
| - automatic-speech-recognition
|
| license: cc-by-4.0
|
| library_name: ctranslate2
|
| ---
|
|
|
| # Whisper-large-v2-hindi model for CTranslate2
|
|
|
| This repository contains the conversion of [collabora/whisper-large-v2-hindi](https://huggingface.co/collabora/whisper-large-v2-hi) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
|
|
|
| This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper).
|
|
|
| ## Example
|
|
|
| ```python
|
| from faster_whisper import WhisperModel
|
|
|
| model = WhisperModel("collabora/faster-whisper-small-hindi")
|
|
|
| segments, info = model.transcribe("audio.mp3")
|
| for segment in segments:
|
| print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
|
| ```
|
|
|
