| --- |
| 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-hindi) 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-large-v2-hindi") |
| |
| segments, info = model.transcribe("audio.mp3") |
| for segment in segments: |
| print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text)) |
| ``` |
|
|
