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dpt-large
Xenova/dpt-large
dpt-large is a depth estimation model from Xenova. 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.
https://huggingface.co/Intel/dpt-large with ONNX weights to be compatible with Transformers.js.
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.onnx3.6 GB · 100%
At a glance
- Task
- Depth Estimation
- Library
- transformers.js
- Model type
- dpt
- Access
- Public
- Created
- Nov 11, 2023
- Updated
- Jun 26, 2025
- SHA
- e538f1e2
Base models
Model card
From the Hugging Face model README
https://huggingface.co/Intel/dpt-large with ONNX weights to be compatible with Transformers.js.
Usage (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.
import { pipeline } from '@huggingface/transformers';
const depth_estimator = await pipeline('depth-estimation', 'Xenova/dpt-large');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const out = await depth_estimator(url);
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).
- Task
- Depth Estimation
- Library
- transformers.js
- Type
- dpt
- Created
- Nov 11, 2023
- Updated
- Jun 26, 2025