SimCSE: Simple Contrastive Learning of Sentence Embeddings
Paper • 2104.08821 • Published
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Check out the documentation for more information.
Cyclone SIMCSE RoBERTa WWM Ext Chinese
This model provides simplified Chinese sentence embeddings encoding based on Simple Contrastive Learning. The pretrained model(Chinese RoBERTa WWM Ext) is used for token encoding.
Usage
Please use SentenceTransformer to load the model.
from sentence_transformers import SentenceTransformer
encoder = SentenceTransformer('cyclone/simcse-chinese-roberta-wwm-ext')
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