hub
Enables model integration into PyTorch Hub with a systematic approach. Contributors submit models by adding 'hubconf.py' and initiating a pull request. While pretrained weight hosting isn't supported, users are encouraged to self-host. Expanding the tag set through PRs increases adaptability. Use provided testing tools to ensure model compatibility and preview web pages via the Netlify bot for feedback. Adhere to templates for optimal submission.
