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  1. config.json +30 -0
  2. tokenizer_config.json +1 -0
  3. vocab.txt +0 -0
config.json ADDED
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+ {
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+ "_name_or_path": "/cognitive_comp/wuziwei/pretrained_model_hf/simcse-unsup-bert/bert-zh-unsupsimcse-250000",
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+ "architectures": [
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+ "BertModel"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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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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+ "transformers_version": "4.2.1",
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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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+ }
tokenizer_config.json ADDED
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+ {"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "/cognitive_comp/wuziwei/pretrained_model_hf/simcse-unsup-bert/bert-zh-unsupsimcse-250000"}
vocab.txt ADDED
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