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  license: apache-2.0
 
 
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  license: apache-2.0
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+ **VLE** (**V**isual-**L**anguage **E**ncoder) is an image-text multimodal understanding model built on the pre-trained text and image encoders. It can be used for multimodal discriminative tasks such as visual question answering and image-text retrieval. Especially on the visual commonsense reasoning (VCR) task, which requires high-level language understanding and reasoning skills, VLE achieves the best performance among the public methods.
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+ For more details see [https://github.com/iflytek/VLE](https://github.com/iflytek/VLE).
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+ Online VLE demo on Visual Question Answering: [https://huggingface.co/spaces/hfl/VQA_VLE_LLM](https://huggingface.co/spaces/hfl/VQA_VLE_LLM)