One of the pieces of evidence is the huggingface model zoo, and the proportion of torch-only vs tf-only models, but if you start poking around you'll notice jus

One of the pieces of evidence is the huggingface model zoo, and the proportion of torch-only vs tf-only models, but if you start poking around you'll notice just an overwhelming number of variations of the same few models that somebody has fine-tuned or maybe just used different random starts. If you search for 'distilbert-base-uncased-finetuned-emotion' (picked only because I noticed it a lot down in the tail) you'll find five hundred and twenty seven results. Are they all the same? Different? Who knows! I'm going to guess that there's some kind of 'learn ml' class that as part of the curriculum teaches students to upload to huggingface and that's skewing the numbers beyond use.