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README.md
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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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# Data
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train data is similar data from E-commerce dialogue
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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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### 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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