config.json

{
  "architectures": [
    "ErnieMModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "max_position_embeddings": 514,
  "model_type": "ernie_m",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 1,
  "paddlenlp_version": null,
  "type_vocab_size": 16,
  "vocab_size": 250002,
  "layer_norm_eps": 1e-05
}