| **🖼️ When ViT meets GPT-2 📝** | |
| An image captioning model [ViT-GPT2](https://huggingface.co/flax-community/vit-gpt2/tree/main) by combining the ViT model and a French GPT2 model. | |
| Part of the [Huggingface JAX/Flax event](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/). | |
| The GPT2 model source code is modified so it can accept an encoder's output. | |
| The pretained weights of both models are loaded, with a set of randomly initialized cross-attention weigths. | |
| The model is trained on 65000 images from the COCO dataset for about 1500 steps (batch\_size=256), with the original English cpationis being translated to French for training purpose. | |
| A HuggingFace Space demo for this model: [🖼️ French Image Captioning Demo 📝](https://huggingface.co/spaces/flax-community/image-caption-french) |