Update README.md

README.md

@@ -16,22 +16,32 @@ GitHub link: https://github.com/riccardomusmeci/mlx-image
 These are weights converted from timm/torchvision and ready to be used.
 
 ## How to install
+
 ```
 pip install mlx-image
 ```
 
 ## Models
 
-To create a model with weights:
+To load a model with pre-trained weights:
 ```python
 from mlxim.model import create_model
 
-# loading weights from mlx-vision
-model = create_model("resnet18")
+# loading weights from HuggingFace (https://huggingface.co/mlx-vision/resnet18-mlxim)
+model = create_model("resnet18") # pretrained weights loaded from HF
+
+# loading weights from another HuggingFace model
+model = create_model("resnet18", weights="hf://repo_id/filename")
 
 # loading weights from local file
-model = create_model("resnet18", weights="path/to/weights.npz")
+model = create_model("resnet18", weights="path/to/resnet18/model.npz")
 ```
 
+## **ImageNet-1K Results**
+
+Go to https://github.com/riccardomusmeci/mlx-image/blob/main/results/results-imagenet-1k.csv to check every model converted and its performance on ImageNet-1K with different settings.
+
+> **TL;DR** performance is comparable to the original models from PyTorch implementations.
+
 > [!WARNING]
-> More models will be uploaded aligned with MLX improvement by Apple team
+> More models will be uploaded aligned with MLX improvement by the Apple team.