Image Captioning Python App with ViT and GPT2 Using Hugging Face Models - Applied Deep Learning

Image Captioning Python App with ViT and GPT2 Using Hugging Face Models - Applied Deep Learning

Learn to create an image captioning Python application using Vision Transformer (ViT) and GPT-2 models from Hugging Face. Follow along as the tutorial guides you through building a Gradio app that generates descriptive captions for images. Explore the integration of Sachin's pre-trained model from the Hugging Face Model Hub, which combines ViT for image processing and GPT-2 for text generation. By the end of this 25-minute tutorial, deploy your own image captioning app on the Hugging Face Model Hub, gaining practical experience in applied deep learning and natural language processing.