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  1. README.md +39 -0
  2. bert_config.json +26 -0
  3. config.json +26 -0
  4. gitattributes +35 -0
  5. pytorch_model.bin +3 -0
  6. vocab.txt +0 -0
README.md CHANGED
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ language:
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+ - zh
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+ tags:
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+ - bert
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+ - classical chinese
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+ - pytorch
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+ - text-classification
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+ library_name: transformers
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+ widget:
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+ - text: 我喜欢看电影
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+ output:
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+ - label: POSITIVE
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+ score: 0.8
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+ - label: NEGATIVE
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+ score: 0.2
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+ pipeline_tag: token-classification
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  ---
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+
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+ # My Model
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+ ## Model description
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+ Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools.
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+ ## How to use
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+ ```python
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+ from transformers import AutoTokenizer, AutoModel
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+ tokenizer = AutoTokenizer.from_pretrained("ziqin/my-model")
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+ model = AutoModel.from_pretrained("ziqin/my-model")
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+ ```
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+ ## About Us
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+ We are from Sugon.
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+
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+ ## Other metadata
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+ library_name: transformers
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+
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+ widget:
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+ - text: 我喜欢看电影
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+ output:
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+ - label: POSITIVE
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+ score: 0.8
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+ - label: NEGATIVE
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+ score: 0.2
bert_config.json ADDED
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+ {
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+ "architectures": [
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+ "BertForMaskedLM"
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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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+ "type_vocab_size": 2,
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+ "vocab_size": 29791
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+ }
config.json ADDED
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+ {
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+ "architectures": [
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+ "BertForMaskedLM"
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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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+ "type_vocab_size": 2,
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+ "vocab_size": 29791
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+ }
gitattributes ADDED
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pytorch_model.bin ADDED
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vocab.txt ADDED
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