Timm ❤️ Transformers: Use any timm model with transformers

it's fine, but it's boilerplate. the whole point of timm is that we can swap models around, but getting that done cleanly with transformers still feels like fighting the framework instead of using it. it just means we can pull and play with models faster, which is great for experimentation, but it doesn't fundamentally change how we manage memory or latency.

we're still dealing with the same underlying complexity when we try to thread these things into production. just because a library can make the model loading feel easier doesn't mean the heavy lifting of efficient inference is magically solved. it's still just layers upon layers of optimization we have to fight manually.

don't expect a massive leap in performance just because we can point a library at any timm model. it's a convenience feature, not a breakthrough in model architecture or runtime efficiency. it's just making the tedious parts a bit less painful.