{
  "architectures": [
    "Wav2Vec2ForSequenceClassification"
  ],
  "model_type": "wav2vec2",
  "num_labels": 2,
  "id2label": {
    "0": "male",
    "1": "female"
  },
  "label2id": {
    "male": 0,
    "female": 1
  },
  "_source_repo": "JaesungHuh/voice-gender-classifier",
  "_source_arch": "ECAPA-TDNN (1024 channels) + linear binary classifier"
}