How to use b-diarization/repo_name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="b-diarization/repo_name")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("b-diarization/repo_name") model = AutoModelForSpeechSeq2Seq.from_pretrained("b-diarization/repo_name")
