How to use matthewagi/HeAR-s1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="matthewagi/HeAR-s1.1", trust_remote_code=True)
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("matthewagi/HeAR-s1.1", trust_remote_code=True, dtype="auto")
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{ "clip_duration_seconds": 2.0, "do_normalize": false, "feature_extractor_type": "HearCanonFeatureExtractor", "image_size": [ 192, 128 ], "input_channels": 1, "num_audio_samples": 32000, "num_mel_bins": 128, "sampling_rate": 16000 }
