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README.md

@@ -9,13 +9,17 @@ tags:
 datasets:
 - imagenet-1k
 ---
+
 # efficientnet_b0
 
-An EFFICIENTNET-B0 image classification model. Pretrained on ImageNet-1K.
+An EfficientNet B0 model architecture, pretrained on ImageNet-1K.
+
+Disclaimer: this is a port of the Torchvision model weights to Apple MLX Framework.
 
-Disclaimer: This is a port of the PyTorch model weights to Apple MLX Framework.
+See [mlx-convert-scripts](https://github.com/lextoumbourou/mlx-convert-scripts) repo for the conversion script used.
 
 ## How to use
+
 ```bash
 pip install mlx-image
 ```
@@ -38,6 +42,7 @@ logits = model(x)
 ```
 
 You can also use the embeds from layer before head:
+
 ```python
 from mlxim.model import create_model
 from mlxim.io import read_rgb