A Python Library to 6-7x the inference speed of your HF models

does this work for diffusion models, e.g. stable diffusion xl?

Pretty confusing that both the pytorch repo and yours is named gpt fast.

Please add (something like) that to the Readme.

We use transformers in production for T5 models, which aren't supported by the usual suspects. I did a bit of poking around and might try out TensorRT or CTranslate2 at some point; for now the single GPU we have dedicated to the project has been able to keep up with incoming data, but I'll probably have to address it in the next couple of months.

If anyone has suggestions for other T5 inference options I would welcome them.

vLLM uses transformers.

Indirectly via TGI

It's important to note that Transformers can be used for a lot more than just LLMs. There are plenty of models that can be fine-tuned to perform a single task better than LLM prompting.