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lordtt13
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emo-mobilebert

Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
English
mobilebert
Inference Endpoints
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1
emo-mobilebert
File size: 963 Bytes 
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{
  "architectures": [
    "MobileBertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_activation": true,
  "embedding_size": 128,
  "hidden_act": "relu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 512,
  "id2label": {
    "0": "others",
    "1": "happy",
    "2": "sad",
    "3": "angry"
  },
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "intra_bottleneck_size": 128,
  "key_query_shared_bottleneck": true,
  "label2id": {
    "angry": 3,
    "happy": 1,
    "others": 0,
    "sad": 2
  },
  "layer_norm_eps": 1e-12,
  "max_length": 128,
  "max_position_embeddings": 512,
  "model_type": "mobilebert",
  "normalization_type": "no_norm",
  "num_attention_heads": 4,
  "num_feedforward_networks": 4,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "trigram_input": true,
  "true_hidden_size": 128,
  "type_vocab_size": 2,
  "use_bottleneck": true,
  "use_bottleneck_attention": false,
  "vocab_size": 2016
}