What does this PR do ?

Fixes issue with transcribing with canary2 model on numpy array or torch tensor input

Collection: ASR

Changelog

Couple of issues:

• when not using lhotse sampler, we replace prompt with default slots on the go. which returning user_partial too (Causing double user input)
• when chunking is enable audio_id is not captured.

Usage

from nemo.collections.asr.models import EncDecMultiTaskModel
model = EncDecMultiTaskModel.from_pretrained("nvidia/canary-1b-v2")
audio, sr = librosa.load(<audio_path>, sr=16000)
audio_tensor = torch.from_numpy(audio)

hypotheses = model.transcribe(
    audio=audio,
    batch_size=1,
    return_hypotheses=True,
)
print(hypotheses[0].text)

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Additional Information

• Related to # (issue)