reward-model / preprocessor_config.json
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{
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "RewardFeatureExtractor",
"feature_size": 80,
"hop_length": 160,
"n_fft": 1024,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "RewardModelProcessor",
"return_attention_mask": true,
"sampling_rate": 16000
}