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onnx-community/depth-anything-v2-base
depth-anything-v2-base is a depth estimation model from onnx-community. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. It is set up for transformers.js. The card lists the license as cc-by-nc-4.0.
https://huggingface.co/depth-anything/Depth-Anything-V2-Base with ONNX weights to be compatible with Transformers.js.
Downloads · 30 days
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From the Hugging Face model README
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:
npm i @huggingface/transformers
Example: Depth estimation w/ onnx-community/depth-anything-v2-base.
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).