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- model created by sentence-tansformers,model struct is cross-encoder
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- train data is similar data from E-commerce dialogue
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: zh
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+ tags:
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+ - simcse
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+ datasets:
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+ - dialogue
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+ ---
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+
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+ # Data
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+ train data is similar data from E-commerce dialogue
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+
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+ ## Model
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+ model created by [sentence-tansformers](https://www.sbert.net/index.html),model struct is cross-encoder
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+
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+ ### Usage
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+ ```python
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+ >>> from transformers import AutoTokenizer, AutoModel
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+ >>> model = AutoModel.from_pretrained("tuhailong/simcse_model")
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+ >>> tokenizer = AutoTokenizer.from_pretrained("tuhailong/simcse_model")
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+ >>> sentences_str_list = ["今天天气不错的","天气不错的"]
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+ >>> inputs = tokenizer(sentences_str_list,return_tensors="pt", padding='max_length', truncation=True, max_length=32)
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+ >>> outputs = model(**inputs)
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+ ```