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{ |
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"_name_or_path": "ckiplab/bert-base-chinese", |
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"architectures": [ |
|
"BertModel" |
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], |
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"classifier_dropout": null, |
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"directionality": "bidi", |
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"gradient_checkpointing": false, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 768, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"layer_norm_eps": 1e-12, |
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"max_position_embeddings": 512, |
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"model_type": "bert", |
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"num_attention_heads": 12, |
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"num_hidden_layers": 12, |
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"pad_token_id": 0, |
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"pooler_fc_size": 768, |
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"pooler_num_attention_heads": 12, |
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"pooler_num_fc_layers": 3, |
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"pooler_size_per_head": 128, |
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"pooler_type": "first_token_transform", |
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"position_embedding_type": "absolute", |
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"tokenizer_class": "BertTokenizerFast", |
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"torch_dtype": "float32", |
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"transformers_version": "4.28.1", |
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"type_vocab_size": 2, |
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"use_cache": true, |
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"vocab_size": 21128 |
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} |
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|