---
license: apache-2.0
language:
- bn
base_model:
- sha1779/BengaliRegionalASR
pipeline_tag: automatic-speech-recognition
---

This is the CTranslate2 version which is faster than base version.

## requirements
```bash
pip install ctranslate2
```
## Base model to Ctranslate format conversion
```bash
!ct2-transformers-converter --model sha1779/BengaliRegionalASR --output_dir sha1779/Faster_BengaliRegionalASR --copy_files tokenizer.json preprocessor_config.json --quantization float16
```

## Run the model
```bash
pip install faster-whisper

```

```python
from faster_whisper import WhisperModel

model_size = "sha1779/Faster_BengaliRegionalASR"

model = WhisperModel(model_size, device="cuda", compute_type="float16")
segments, info = model.transcribe("audio.mp3", beam_size=5, language="en", condition_on_previous_text=False)

for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

```