I often meet research scientists interested in open-sourcing their code/research and asking for advice.
— Thomas Wolf (@Thom_Wolf) January 14, 2020
Here is a thread for you.
First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competition pic.twitter.com/x16jgKmLFr
2. Put yourself in the shoes of a master student who has to start from scratch with your code:
— Thomas Wolf (@Thom_Wolf) January 14, 2020
- give them a ride up to the end with pre-trained models
- focus examples/code on open-access datasets (not everybody can pay for CoNLL-2003)
5. Spend 4 days to do it well. Open-sourcing a good code base takes some time but you should consider it as important as your paper
— Thomas Wolf (@Thom_Wolf) January 14, 2020
6. Consider merging with a larger repo: are you working on language models? 🤗Transformers is probably happy to help you ➡️ https://t.co/iNdvPcRFPa
