Fix broken link in text-to-video.md (#1083)

text-to-video.md

@@ -114,4 +114,4 @@ Finally, there are various open source projects and models that are not on the h
 ## Conclusion
 Text-to-video research is progressing exponentially, but existing work is still limited in context and faces many challenges. In this blog post, we covered the constraints, unique challenges and the current state of text-to-video generation models. We also saw how architectural paradigms originally designed for other tasks enable giant leaps in the text-to-video generation task and what this means for future research. While the developments are impressive, text-to-video models still have a long way to go compared to text-to-image models. Finally, we also showed how you can use these models to perform various tasks using the demos available on the Hub or as a part of 🤗 Diffusers pipelines.
 
-That was it! We are continuing to integrate the most impactful computer vision and multi-modal models and would love to hear back from you. To stay up to date with the latest news in computer vision and multi-modal research, you can follow us on Twitter: **[@adirik](https://twitter.com/https://twitter.com/alaradirik)**, **[@a_e_roberts](https://twitter.com/a_e_roberts)**, [@osanseviero](https://twitter.com/NielsRogge), [@risingsayak](https://twitter.com/risingsayak) and **[@huggingface](https://twitter.com/huggingface)**.
+That was it! We are continuing to integrate the most impactful computer vision and multi-modal models and would love to hear back from you. To stay up to date with the latest news in computer vision and multi-modal research, you can follow us on Twitter: **[@adirik](https://twitter.com/alaradirik)**, **[@a_e_roberts](https://twitter.com/a_e_roberts)**, [@osanseviero](https://twitter.com/NielsRogge), [@risingsayak](https://twitter.com/risingsayak) and **[@huggingface](https://twitter.com/huggingface)**.