Xenova/glpn-nyu
By Xenova · ↓ 8 · ♥ 0 · Updated 2025-06-26
What's in this repo
This page lists the files in Xenova/glpn-nyu, including model.onnx, model_fp16.onnx, model_quantized.onnx.
- 3 ONNX models (.onnx files)
- 8 files, including 3 .json, 3 .onnx, 1 .md
- Last updated 2025-06-26
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model.onnx | — | Download |
| onnx/model_fp16.onnx | — | Download |
| onnx/model_quantized.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
https://huggingface.co/vinvino02/glpn-nyu 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-nyu');
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).
Model info
Created: 2023-11-11
Updated: 2025-06-26
View on Hugging Face