| Benchmarks | |
| Hugging Face's Benchmarking tools are deprecated and it is advised to use external Benchmarking libraries to measure the speed | |
| and memory complexity of Transformer models. | |
| [[open-in-colab]] | |
| Let's take a look at how 🤗 Transformers models can be benchmarked, best practices, and already available benchmarks. | |
| A notebook explaining in more detail how to benchmark 🤗 Transformers models can be found here. | |
| How to benchmark 🤗 Transformers models | |
| The classes [PyTorchBenchmark] and [TensorFlowBenchmark] allow to flexibly benchmark 🤗 Transformers models. |