Egy_Arabic_whisper-small

1
license:apache-2.0
by
itshamdi404
Audio Model
OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

Example Usagepythontransformers
import torch
import librosa
from transformers import WhisperProcessor, WhisperForConditionalGeneration

model_id = "itshamdi404/Egy_Arabic_whisper-small"

processor = WhisperProcessor.from_pretrained(model_id, language="ar", task="transcribe")
model = WhisperForConditionalGeneration.from_pretrained(model_id)

audio, sr = librosa.load("test.wav", sr=16000)

inputs = processor(
    audio,
    sampling_rate=16000,
    return_tensors="pt"
)

with torch.no_grad():
    predicted_ids = model.generate(inputs["input_features"])

transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]

print(transcription)

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