Please read the topic category description to understand what this is all about
Twitter is a great medium to promote your own work, as many people in the machine learning community are there and you can get instant feedback. The main challenge is figuring out how to draft your Tweets so that they (a) have impact and (b) fit in the 256 character limit. This project is quite meta - design a summarization system that can produce tweet-length summaries of machine learning projects.
Many of the summarization models on the Hub would be a good starting point for fine-tuning on your own Twitter corpus.
Searching for twitter datasets on the Hub would be a good start, but if you want to have a model that’s specific for machine learning projects you’ll have to create your own corpus using tools like Tweepy
This is a somewhat open-ended project, so there may be challenges with finding a suitable existing dataset or spending too much time curating one of your own. Just keep things simple in the first iteration and then build from that.
- Create a Streamlit or Gradio app on Spaces that can summarize a machine learning project description in a tweet-length summary.
- Don’t forget to push all your models and datasets to the Hub so others can build on them!