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# whisper-medium-AHao: Automatic Speech Recognition for Vietnamese
```
title:whisper-medium-AHao: Automatic Speech Recognition for Vietnamese
author: Bang Viet Hao
year: 2024
license: apache-2.0
language: vi
```
# Usage
```python
import torch
import accelerate
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
model_id = "bavihao/whisper-medium-AHao"
model = AutoModelForSpeechSeq2Seq.from_pretrained(
model_id, torch_dtype=torch_dtype, device_map = 'auto'
)
processor = AutoProcessor.from_pretrained(model_id)
pipe = pipeline(
"automatic-speech-recognition",
model=model,
tokenizer=processor.tokenizer,
feature_extractor=processor.feature_extractor,
batch_size=16,
return_timestamps=True,
torch_dtype=torch_dtype,
)
result = pipe(audio_path, generate_kwargs={"language": "vietnamese"})
print(result["text"])
```