VLE (Visual-Language Encoder) 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 significant improvements.
For more details see https://github.com/iflytek/VLE.
Online VLE demo on Visual Question Answering: https://huggingface.co/spaces/hfl/VQA_VLE_LLM
- Downloads last month
Unable to determine this model’s pipeline type. Check the docs .