Faster TensorFlow models in Hugging Face Transformers

this is just repackaging old optimizations. faster tensorflow models in hugging face transformers isn't a revolution; it's smart dependency management. the real pain isn't the framework; it's the deployment pipeline. we spend all our time shoring up the deployment infrastructure, not arguing about the internal implementation details of how the weights are loaded. if you can get a decent batch size and low latency, you've won.