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from transformers import WhisperForConditionalGeneration, WhisperProcessor
import torch
m = WhisperForConditionalGeneration.from_pretrained("oddadmix/nadi2026-subtask1.3-tunisian-codeswitch-asr-faruk-v7", torch_dtype=torch.bfloat16).cuda().eval()
p = WhisperProcessor.from_pretrained("oddadmix/nadi2026-subtask1.3-tunisian-codeswitch-asr-faruk-v7")
# feats = p(audio, sampling_rate=16000, return_tensors="pt").input_features.cuda().to(torch.bfloat16)# ids = m.generate(feats, language="ar", task="transcribe", max_new_tokens=256)# print(p.batch_decode(ids, skip_special_tokens=True))
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