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glpn-kitti
Xenova/glpn-kitti
glpn-kitti 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/vinvino02/glpn-kitti with ONNX weights to be compatible with Transformers.js.
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435 MB
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.onnx435 MB · 100%
At a glance
- Task
- Depth Estimation
- Library
- transformers.js
- Model type
- glpn
- Access
- Public
- Created
- Nov 11, 2023
- Updated
- Jun 26, 2025
- SHA
- 266c86d1
Base models
Model card
From the Hugging Face model README
https://huggingface.co/vinvino02/glpn-kitti 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/glpn-kitti');
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
- glpn
- Created
- Nov 11, 2023
- Updated
- Jun 26, 2025