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README.md

@@ -16,7 +16,7 @@ pipeline_tag: feature-extraction
 # AI Kit Gallery - Optimized ONNX Vision Models
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JanadaSroor/vision_models/blob/main/AI_Models_Demo.ipynb)
-[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue)](https://huggingface.co/JanadaSroor)
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue)](https://huggingface.co/JanadaSroor/vision-models)
 
 This repository contains optimized ONNX models designed for the [AI Kit Gallery](https://github.com/JanadaSroor/AIkit) Android app. These models enable high-performance, offline AI-powered image search and categorization directly on mobile devices.
 
@@ -54,11 +54,11 @@ Test the models immediately using our Google Colab notebook:
 pip install huggingface_hub
 
 # Download CLIP Models
-huggingface-cli download JanadaSroor/vision-models clip_text_quantized.onnx --local-dir ./models
-huggingface-cli download JanadaSroor/vision-models clip_vision_quantized.onnx --local-dir ./models
+huggingface-cli download JanadaSroor/vision-models models/clip_text_quantized.onnx --local-dir .
+huggingface-cli download JanadaSroor/vision-models models/clip_vision_quantized.onnx --local-dir .
 
 # Download ViT Model
-huggingface-cli download JanadaSroor/vision-models vit_base_quantized.onnx --local-dir ./models
+huggingface-cli download JanadaSroor/vision-models models/vit_base_quantized.onnx --local-dir .
 ```
 
 ## 📊 Model Specifications