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{ | |
"_name_or_path": "bert-base-chinese", | |
"architectures": [ | |
"BertForSequenceClassification" | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"classifier_dropout": null, | |
"directionality": "bidi", | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_size": 768, | |
"initializer_range": 0.02, | |
"intermediate_size": 3072, | |
"layer_norm_eps": 1e-12, | |
"max_position_embeddings": 512, | |
"model_type": "bert", | |
"num_attention_heads": 12, | |
"num_hidden_layers": 12, | |
"pad_token_id": 0, | |
"pooler_fc_size": 768, | |
"pooler_num_attention_heads": 12, | |
"pooler_num_fc_layers": 3, | |
"pooler_size_per_head": 128, | |
"pooler_type": "first_token_transform", | |
"position_embedding_type": "absolute", | |
"torch_dtype": "float32", | |
"transformers_version": "4.18.0", | |
"type_vocab_size": 2, | |
"use_cache": true, | |
"vocab_size": 21128 | |
} | |