From c8b6a15a537855b74bfa0b0dd14c1405158cd4bd Mon Sep 17 00:00:00 2001 From: Amir Servi <131249114+ServiAmirPM@users.noreply.github.com> Date: Tue, 26 Nov 2024 17:30:59 +0200 Subject: [PATCH] Update README.md - Typos, "the" "a" "an", missing panctuation and stuff - Improved text under contribution - --- README.md | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 9206195b6..0b8edb332 100644 --- a/README.md +++ b/README.md @@ -98,7 +98,7 @@ Reduces model size/complexity and ensures better channels utilization by removin __________________________________________________________________________________________________________ ### **Debugging and Visualization** **🎛️ Network Editor (Modify Quantization Configurations)** [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sony/model_optimization/blob/main/tutorials/notebooks/mct_features_notebooks/keras/example_keras_network_editor.ipynb). -Modify your model's quantization configuration for specific layers or apply a custom edit rule (e.g adjust layer's bit-width) using MCT’s network editor +Modify your model's quantization configuration for specific layers or apply a custom edit rule (e.g adjust layer's bit-width) using MCT’s network editor. **🖥️ Visualization**. Observe useful information for troubleshooting the quantized model's performance using TensorBoard. [Read more](https://sony.github.io/model_optimization/docs/guidelines/visualization.html). @@ -118,7 +118,7 @@ More details on how to use EPTQ via MCT can be found in the [GPTQ guidelines](ht * [Gradient-based post-training quantization](https://sony.github.io/model_optimization/docs/api/api_docs/index.html#gptq) | GPTQ API docs * [Quantization-aware training](https://sony.github.io/model_optimization/docs/api/api_docs/index.html#qat) | QAT API docs -* [Debug](https://sony.github.io/model_optimization/docs/guidelines/visualization.html) – modify optimization process or generate explainable report +* [Debug](https://sony.github.io/model_optimization/docs/guidelines/visualization.html) – modify optimization process or generate an explainable report * [Release notes](https://github.com/sony/model_optimization/releases) @@ -172,19 +172,20 @@ Results for applying pruning to reduce the parameters of the following models by ##