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{ |
|
"_name_or_path": "bert-base-chinese", |
|
"architectures": [ |
|
"BertForMaskedLM" |
|
], |
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"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, |
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"intermediate_size": 3072, |
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"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "bert", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 12, |
|
"pad_token_id": 0, |
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"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", |
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"transformers_version": "4.11.3", |
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"type_vocab_size": 2, |
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"use_cache": true, |
|
"vocab_size": 21128 |
|
} |
|
|