Vit Gpt2 Image Captioning



The "vit-gpt2-image-captioning" model is an image-to-text model that generates captions for given images. It uses the Vision Transformer (ViT) model as the image encoder and the GPT-2 model as the text decoder. By combining these two models, it is able to effectively understand the visual content of the images and generate accurate and coherent captions for them.

Use cases

The "vit-gpt2-image-captioning" AI model has several use cases for a technical audience. One practical use could be in the field of image recognition, where the model can be used to automatically generate descriptive captions for images, improving the accessibility and searchability of large image databases. Another use case could be in the development of virtual assistants or chatbots that can understand and respond to images. This model can also be used for generating alt-text for visually impaired users, aiding in making online content more accessible. Furthermore, it can be integrated into content creation platforms, such as social media schedulers or blogging platforms, to automatically generate captions for user-uploaded images, saving time and effort for content creators. Possible products or practical implementations of this model could include image recognition APIs, content management systems with built-in image captioning features, or even standalone mobile apps that provide image captioning functionality.



Cost per run
Avg run time

Creator Models

Deberta V3 Xsmall Squad2$?126
Dpr Ctx_encoder_bert_uncased_L 2_H 128_A 2$?70
Dpr Nq Reader Roberta Base V2$?13
Dpr Nq Reader Roberta Base$?20
PubLayNet Faster_rcnn_R_50_FPN_3x$?0

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Vit Gpt2 Image Captioning model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.


Summary of this model and related resources.

Model NameVit Gpt2 Image Captioning
Platform did not provide a description for this model.
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided


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