onnx-community
onnx-community/depth-anything-v2-base
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Model Documentation
https://huggingface.co/depth-anything/Depth-Anything-V2-Base with ONNX weights to be compatible with Transformers.js.
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
Example: Depth estimation w/
---
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
bash
npm i @huggingface/transformers
Example: Depth estimation w/
onnx-community/depth-anything-v2-base.
js
import { pipeline } from '@huggingface/transformers';
// Create depth estimation pipeline
const depth_estimator = await pipeline('depth-estimation', 'onnx-community/depth-anything-v2-base');
// Predict depth of an image
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const { depth } = await depth_estimator(url);
// Visualize the output
depth.save('depth.png');
---
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named
onnx).Files & Weights
| Filename | Size | Action |
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