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uer/roberta-base-chinese-extractive-qa

Question Answering·uer· 1.8K· 102
transformers Question Answering arxiv:1909.05658arxiv:2212.06385arxiv:1907.11692deploy:azure

The model is used for extractive question answering. It is fine-tuned by UER-py, which is introduced in this paper. Besides, the model could also be fine-tuned by TencentPretrain introduced in this paper, which inherits UER-py to support models with parameters above one billion, and extends it to a multimodal pre-training framework.

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# pull & run locally
pip install mlforge-sdk && mlforge pull uer/roberta-base-chinese-extractive-qa

Model details

Task
Question Answering
Provider
uer
Framework
transformers
Size
3.8 GB
Downloads
1.8K
Likes
102
Paper
arXiv:1909.05658
Updated
2023-10-17

About uer/roberta-base-chinese-extractive-qa

The model is used for extractive question answering. It is fine-tuned by UER-py, which is introduced in this paper. Besides, the model could also be fine-tuned by TencentPretrain introduced in this paper, which inherits UER-py to support models with parameters above one billion, and extends it to a multimodal pre-training framework.

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