feat: Upload model
Browse files- config.json +17 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +13 -0
- vocab.txt +0 -0
config.json
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{
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"architectures": ["BertForPretraining"],
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"attention_probs_dropout_prob": 0.1,
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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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"type_vocab_size": 2,
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"vocab_size": 32000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:757d1c1fcfe3b4f01445bf62d5e654b99ea08f5ea1aca7d180ed91c004668c6d
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size 445025130
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special_tokens_map.json
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{
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"unk_token": "[UNK]",
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"sep_token": "[SEP]",
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"pad_token": "[PAD]",
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"cls_token": "[CLS]",
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"mask_token": "[MASK]"
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}
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tokenizer_config.json
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{
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"do_lower_case": false,
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"do_basic_tokenize": true,
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"never_split": null,
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"unk_token": "[UNK]",
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"sep_token": "[SEP]",
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"pad_token": "[PAD]",
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"tokenize_chinese_chars": true,
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"strip_accents": null,
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"model_max_length": 512
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}
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vocab.txt
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