ernie-m-large_pytorch / config.json
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{
"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": 3072,
"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
}