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- #Data
 
 
 
 
 
 
 
 
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  unsupervise train data is E-commerce dialogue.
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- ##Model
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  model is [simcse](https://arxiv.org/abs/2104.08821).
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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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+ ---
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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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  unsupervise train data is E-commerce dialogue.
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+ ## Model
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  model is [simcse](https://arxiv.org/abs/2104.08821).
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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)