added model and updated readme

.gitignore

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+.DS_Store

DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage/Data/com.apple.CoreML/model.mlmodel

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DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage/Manifest.json

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+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "BC32E3B0-E1A4-4669-8E5E-1CB071C5D228": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "C1F003FB-AF34-4652-AC32-571859E7D861": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        }
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+}

README.md

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 ---
+tags:
+- depth-estimation
+library_name: coreml
 license: apple-ascl
+base_model:
+  - apple/DepthPro
 ---
+
+This repo contains [DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage](DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage)(745 MB).
+
+`Normaized Inverse Depth` means that the model will output values between $[0,1]$ where 1 is the closest pixel to the camera, and 0 is the furthest pixel from the camera.
+
+This model was first pruned to 10% sparsity, then the weights were linearly quantized.
+
+# DepthPro CoreML Models
+
+DepthPro is a monocular depth estimation model. This means that it is trained to predict depth on a single image.
+
+[DepthPro paper](https://arxiv.org/pdf/2410.02073)
+
+[DepthPro original repo](https://huggingface.co/apple/DepthPro)
+
+# Model Inputs and Outputs
+
+### Inputs
+
+- `image`: $1536 \times 1536$ 3 color image ($[1 \times 3 \times 1536 \times 1536]$ ImageType).
+
+### Outputs
+
+- `normalizedInverseDepth` 1536x1536 monochrome image ($[1 \times 1 \times 1536 \times 1536]$ ImageType).
+
+# Download
+
+Install `huggingface-cli`
+
+```bash
+brew install huggingface-cli
+```
+
+To download:
+
+```bash
+huggingface-cli download \
+  --local-dir models --local-dir-use-symlinks False \
+  coreml-projects/DepthPro-coreml-normalized-inverse-depth-pruned-10-quantized-linear \
+  --include "DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage/*""
+```
+
+To download everything, skip the `--include` argument.
+
+# Conversion Tutorial 
+
+The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/tutorials/DepthPro/depth_pro_coreml_guide.ipynb) repository contains sample conversion code for `DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage` and other models.
+
+# Swift Integration
+
+The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/DepthProSample/README.md) repository contains sample Swift code for `DepthProNormalizedInverseDepthPruned10QuantizedLinear.mlpackage` and other models. See [the instructions there](https://github.com/huggingface/coreml-examples/tree/main/DepthProSample) to build the demo app, which shows how to use the model in your own Swift apps.