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license: apache-2.0 |
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language: |
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- en |
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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. |
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It can be used for multimodal discriminative tasks such as visual question answering and image-text retrieval. |
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Especially on the visual commonsense reasoning (VCR) task, which requires high-level language understanding and reasoning skills, VLE achieves significant improvements. |
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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) |
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