---
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](https://huggingface.co/collabora/whisper-medium-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-medium-hindi")

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