Video Blip Flan T5 Xl Ego4d

🚀 VideoBLIP, Flan T5-xl, fine-tuned on Ego4D

VideoBLIP is a model that combines BLIP - 2 with Flan T5 - xl, designed for tasks like image - to - text, video - to - text, etc.

🚀 Quick Start

For code examples, please refer to the official repository.

✨ Features

• Multimodal Capabilities: Suitable for various vision - related tasks such as image - to - text, video - to - text, image captioning, video captioning, and visual question - answering.
• Backbone Model: Leveraging BLIP - 2 with Flan T5 - xl (a large language model with 2.7 billion parameters) as its LLM backbone.

📚 Documentation

Model description

VideoBLIP is an augmented BLIP - 2 that can handle videos.

Bias, Risks, Limitations, and Ethical Considerations

VideoBLIP - OPT uses off - the - shelf Flan - T5 as the language model. It inherits the same risks and limitations from Flan - T5:

⚠️ Important Note

Language models, including Flan - T5, can potentially be used for language generation in a harmful way, according to Rae et al. (2021). Flan - T5 should not be used directly in any application, without a prior assessment of safety and fairness concerns specific to the application.

VideoBLIP has not been tested in real world applications. It should not be directly deployed in any applications. Researchers should first carefully assess the safety and fairness of the model in relation to the specific context they’re being deployed within.

📄 License

This project is licensed under the MIT license.