from transformers import WhisperProcessor, WhisperForConditionalGenerationimport torchimport torchaudio processor = WhisperProcessor.from_pretrained("amedcj/whisper-kurmanji")model = WhisperForConditionalGeneration.from_pretrained("amedcj/whisper-kurmanji").to("cuda") audio, sr = torchaudio.load("your_audio.wav")input_features = processor(audio.squeeze(), sampling_rate=16000, return_tensors="pt").input_features.to("cuda")forced_decoder_ids = processor.get_decoder_prompt_ids(language="kurmanji", task="transcribe") predicted_ids = model.generate(input_features, forced_decoder_ids=forced_decoder_ids)transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]print(transcription)