docs: Fixed latency section of the README (#178)

* docs: Fixed typo in latency section of the README

* docs: Fixed typo

README.md

@@ -80,7 +80,7 @@ Reference scripts are provided to train your models using holocron on famous pub
 
 You crave for SOTA performances, but you don't know whether it fits your needs in terms of latency?
 
-In the table below, you will find a latency benchmark (forward pass not included) for all supported models:
+In the table below, you will find a latency benchmark for all supported models:
 
 | Arch                                                         | GPU mean (std)    | CPU mean (std)     |
 | ------------------------------------------------------------ | ----------------- | ------------------ |
@@ -114,7 +114,7 @@ In the table below, you will find a latency benchmark (forward pass not included
 
 This benchmark was performed over 100 iterations on (224, 224) inputs, on a laptop to better reflect performances that can be expected by common users. The hardware setup includes an [Intel(R) Core(TM) i7-10750H](https://ark.intel.com/content/www/us/en/ark/products/201837/intel-core-i710750h-processor-12m-cache-up-to-5-00-ghz.html) for the CPU, and a [NVIDIA GeForce RTX 2070 with Max-Q Design](https://www.nvidia.com/fr-fr/geforce/graphics-cards/rtx-2070/) for the GPU.
 
-You can run this latency benchmark for any CAM method  on your hardware as follows:
+You can run this latency benchmark for any model on your hardware as follows:
 
 ```bash
 python scripts/eval_latency.py rexnet1_0x