via the benchmark argument data classes. For more detail on these one can either directly consult the files
src/transformers/benchmark/benchmark_args_utils.py, src/transformers/benchmark/benchmark_args.py (for PyTorch)
and src/transformers/benchmark/benchmark_args_tf.py (for Tensorflow). Alternatively, running the following shell
commands from root will print out a descriptive list of all configurable parameters for PyTorch and Tensorflow
respectively.
```bash
python examples/pytorch/benchmarking/run_benchmark.py --help
===PT-TF-SPLIT===
python examples/tensorflow/benchmarking/run_benchmark_tf.py --help
```
An instantiated benchmark object can then simply be run by calling benchmark.run().
```py
results = benchmark.run()
print(results)
====================       INFERENCE - SPEED - RESULT       ====================
