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this model based on whisper-tiny model that trained with minds-14 dataset, only trained in english version : enUS

example of using model to classify intent:

>>> from transformers import pipeline

model_id = "kairaamilanii/whisper-mind14-enUS"

transcriber = pipeline(
    "automatic-speech-recognition",
    model=model_id,
    chunk_length_s=30,
    device="cuda:0" if torch.cuda.is_available() else "cpu",
)

audio_file = "/content/602b9a90963e11ccd901cbd0.wav"  # Replace with your audio file path

text = transcriber(audio_file)
text

example output:

{'text': "hello i was looking at my recent transactions and i saw that there's a payment that i didn't make will you be able to stop this thank you"}
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