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{
  "architectures": [
    "AlbertForMaskedLM"
  ],
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  "initializer_range": 0.02,
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  "intermediate_size": 1248,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 4,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "type_vocab_size": 2,
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}