Closed jpcbertoldo closed 2 years ago
If I can add: same thing for the prefix tv_
(standing for torchvision
).
It is indeed defined in a docstring (here for instance) but one cannot learn it from https://paperswithcode.com/lib/timm/resnet.
@jpcbertoldo it is in the README.md and (out of date) https://rwightman.github.io/pytorch-image-models/models/#resnet-resnext-resnetpy ... could be better yes
I have some work on going to redo all pretrained model configs, for better metdata, multi-weight (per architecture) support, etc. That will then be used to generate model cards and Hugging Face Hub entries for each weight. This is a slow plodding process though, and interleaved with a bunch of other work so taking a while....
Ok! Hadn't seen the summary page. I was assuming the content of those multiple places would be the same (as coming from some automatic generation).
My button to close the issue didn't work for some reason. Feel free to close (or I'll retry later).
Is your feature request related to a problem? Please describe.
I was not aware of what "SSL" and "SWSL" in the model names stand for. As I was browsing some models I saw this and started to
Ctrl + F
forSSL
andSWSL
in many places but I would only find the accronym being used but never defined 🙃.It's silly but it was not straight forward to find -- I ended up figuring it out once I read a full doc...
Describe the solution you'd like
Very simple: just define the accronym in the docs(trings?). E.g. in
swsl-resnet.md
:This would be specially useful if it was shown directly in https://paperswithcode.com/lib/timm.
I'd be happy to do it if someone would tell me where it's most appropriate so it would also update papers with code. Is it in the
docs/models/.templates/models/*.md
files?