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README.md

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 ## piccolo-base-zh
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+piccolo is a general text embedding model, powered by General Model Group from SenseTime Research. 
+Based on BERT framework, piccolo is trained using a two stage pipeline. On the first stage, we collect and crawl 400 million weakly supervised Chinese text pairs from the Internet, 
+and train the model with the pair(text and text pos) softmax contrastive loss. 
+On the second stage, we collect 20 million human labeled chinese text pairs from the open-source dataset, and finetune the model with tiplet (text, text_pos, text_neg) contrastive loss. 
+Currently here we offer two different sizes of models, including piccolo-base-zh, piccolo-large-zh. 
+
+