Depth Anything V2

README.md

@@ -14,7 +14,7 @@ Welcome to the official Hugging Face organization for Apple!
 [Core ML](https://developer.apple.com/machine-learning/core-ml/) is optimized for on-device performance of a broad variety of model types by leveraging Apple Silicon and minimizing memory footprint and power consumption.
 
 * Models
-  - [Depth Anything Core ML](https://huggingface.co/apple/coreml-depth-anything-small): Depth estimation
+  - [Depth Anything V2 Core ML](https://huggingface.co/collections/apple/core-ml-depth-anything-66727e780bc71c005763baf9): State-of-the-art depth estimation
   - [DETR Resnet50 Core ML](https://huggingface.co/apple/coreml-detr-semantic-segmentation): Semantic Segmentation
   - [FastViT Core ML](https://huggingface.co/collections/apple/core-ml-fastvit-666b782d98d6421a15237897): Image Classification  
   - [Stable Diffusion Core ML](https://huggingface.co/collections/apple/core-ml-stable-diffusion-666b3b0f4b5f3d33c67c6bbe)
@@ -42,4 +42,4 @@ Open research to enable the community to deliver amazing experiences that improv
 - Hugging Face Blog Posts
   - [Releasing Swift Transformers: Run On-Device LLMs in Apple Devices (Aug, 2023)](https://huggingface.co/blog/swift-coreml-llm)
   - [Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac](https://huggingface.co/blog/fast-diffusers-coreml)
-  - [Using Stable Diffusion with Core ML on Apple Silicon](https://huggingface.co/blog/diffusers-coreml)
+  - [Using Stable Diffusion with Core ML on Apple Silicon](https://huggingface.co/blog/diffusers-coreml)