| { | |
| "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, | |
| "act_dropout": 0.0 | |
| } | |