How to use jed351/whisper_medium_cantonese_cm_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jed351/whisper_medium_cantonese_cm_voice")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jed351/whisper_medium_cantonese_cm_voice") model = AutoModelForSpeechSeq2Seq.from_pretrained("jed351/whisper_medium_cantonese_cm_voice", device_map="auto")
https://huggingface.co/jed351/whisper_medium_cantonese_cm_voice/resolve/main/training_args.bin
hf download hf://jed351/whisper_medium_cantonese_cm_voice/training_args.bin
curl -L -o training_args.bin https://huggingface.co/jed351/whisper_medium_cantonese_cm_voice/resolve/main/training_args.bin
