| from optimum.intel import OVModelForAudioFrameClassification | |
| from transformers import AutoFeatureExtractor, pipeline | |
| # model_id should be set to either a local directory or a model available on the HuggingFace hub. | |
| model_id = "helenai/anton-l-wav2vec2-base-superb-sd-ov" | |
| feature_extractor = AutoFeatureExtractor.from_pretrained(model_id, trust_remote_code=True) | |
| model = OVModelForAudioFrameClassification.from_pretrained(model_id) | |
| pipe = pipeline("None", model=model, feature_extractor=feature_extractor) | |
| result = pipe("hello world") | |
| print(result) | |