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README.md
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- `sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2`模型是用SBERT训练，是`paraphrase-MiniLM-L12-v2`模型的多语言版本，支持中文、英文等
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- `w2v-light-tencent-chinese`是腾讯词向量的Word2Vec模型，CPU加载使用，适用于中文字面匹配任务和缺少数据的冷启动情况
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## Usage (text2vec)
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Using this model becomes easy when you have [text2vec](https://github.com/shibing624/text2vec) installed:
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- `sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2`模型是用SBERT训练，是`paraphrase-MiniLM-L12-v2`模型的多语言版本，支持中文、英文等
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- `w2v-light-tencent-chinese`是腾讯词向量的Word2Vec模型，CPU加载使用，适用于中文字面匹配任务和缺少数据的冷启动情况
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旧版 shibing624/text2vec-base-chinese-nli 模型放在[tag1.0](https://huggingface.co/shibing624/text2vec-base-chinese-sentence/tree/1.0)
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## Usage (text2vec)
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Using this model becomes easy when you have [text2vec](https://github.com/shibing624/text2vec) installed:
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