--- base_model: depth-anything/Depth-Anything-V2-Small library_name: transformers.js license: apache-2.0 pipeline_tag: depth-estimation new_version: onnx-community/depth-anything-v2-small-ONNX --- https://huggingface.co/depth-anything/Depth-Anything-V2-Small with ONNX weights to be compatible with Transformers.js. ## Usage (Transformers.js) If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using: ```bash npm i @huggingface/transformers ``` **Example:** Depth estimation w/ `onnx-community/depth-anything-v2-small`. ```js import { pipeline } from '@huggingface/transformers'; // Create depth estimation pipeline const depth_estimator = await pipeline('depth-estimation', 'onnx-community/depth-anything-v2-small'); // 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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
