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simcse-chinese-roberta-wwm-ext
cyclone/simcse-chinese-roberta-wwm-ext
simcse-chinese-roberta-wwm-ext is a feature extraction model from cyclone. Use it when you need embeddings to search or compare text. It is set up for transformers.
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.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 2, 2021
- SHA
- 871d7039
Model card
From the Hugging Face model README
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')
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Sep 2, 2021