[Discussion] Are ML model documentations hard to understand and build on top of? or are they easy for you?
Do model documentations ever get in the way of your work? or are they easy for you?
the typical things I try to find out when reading dense documentation
-What is the input, output?
-How I should train the model?
-Will it work on my dataset?
Anything else you try to gather when understanding model documentation?