I spent half an hour on Model Hub.\nI was looking for a text classification model to handle a batch of review data.\n@OpenGradient 's Model Hub has over 2000 models.\nThe problem is, I don't know which one is good.\nThere's no usage ranking. No user ratings. No comment section. I searched and came up with a ton of options, all with different names, but I have no clue about the differences between them or which ones are more reliable.\nThis experience got me thinking for a while.\nThe logic of decentralized repositories is: anyone can upload, and the market naturally filters. That's the right direction.\nBut "the market naturally filters" takes time, requires accumulated usage, and needs someone to have stumbled upon pitfalls and left records.\nIn the early days, none of this exists.\nI ended up picking the model that was uploaded most recently and had the most detailed description, ran a test, and the results were okay.\nBut I had zero confidence throughout the whole process. It was like choosing randomly.\nThis made me feel like Model Hub is more of a developer's playground right now, rather than a tool that can be used directly in a production environment.\nThat's not necessarily a bad thing; it’s like that in the early stages.\nBut if you’re an average developer looking to quickly find a reliable model to use, Model Hub might still need some time to catch up.\n$OPG I think this experience is worth documenting because it reflects a real user's feelings, not just product logic; it's about the real sensation of using it right now.\nHave you ever had an experience of looking for models or tools on some platform, completely clueless about which one to choose?\n #OPG