OFA-Sys/OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

PythonShellCudaC++CythonLuapromptchineseimage-captioningpretrained-modelsvisual-question-answeringmultimodaltext-to-image-synthesisvision-languagepretrainingreferring-expression-comprehensionprompt-tuning
This is stars and forks stats for /OFA-Sys/OFA repository. As of 28 Apr, 2024 this repository has 2120 stars and 240 forks.

ModelScope  |  Checkpoints  |  Colab  |  Demo  |  Paper   |  Blog OFA is a unified sequence-to-sequence pretrained model (support English and Chinese) that unifies modalities (i.e., cross-modality, vision, language) and tasks (finetuning and prompt tuning are supported): image captioning (1st at the MSCOCO Leaderboard), VQA (link), visual grounding, text-to-image generation, text classification, text generation, image classification, etc. We provide step-by-step instructions for pretraining...
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