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abletobetable
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ast-emotion

Audio Classification
Transformers
PyTorch
audio-spectrogram-transformer
Inference Endpoints
Model card Files Community
9
ast-emotion
File size: 930 Bytes 
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{
  "_name_or_path": "MIT/ast-finetuned-audioset-10-10-0.4593",
  "architectures": [
    "ASTForAudioClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "frequency_stride": 10,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "anger",
    "1": "disgust",
    "2": "enthusiasm",
    "3": "fear",
    "4": "happiness",
    "5": "neutral",
    "6": "sadness"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "anger": 0,
    "disgust": 1,
    "enthusiasm": 2,
    "fear": 3,
    "happiness": 4,
    "neutral": 5,
    "sadness": 6
  },
  "layer_norm_eps": 1e-12,
  "max_length": 1024,
  "model_type": "audio-spectrogram-transformer",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "num_mel_bins": 128,
  "patch_size": 16,
  "qkv_bias": true,
  "time_stride": 10,
  "torch_dtype": "float32",
  "transformers_version": "4.28.0"
}