onnx-community/rtdetr_r50vd
By onnx-community · ↓ 11 · ♥ 1 · Updated 2024-10-08
What's in this repo
This page lists the files in onnx-community/rtdetr_r50vd, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.
- 7 ONNX models (.onnx files)
- 12 files, including 7 .onnx, 3 .json, 1 .md
- Last updated 2024-10-08
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model.onnx | — | Download |
| onnx/model_bnb4.onnx | — | Download |
| onnx/model_fp16.onnx | — | Download |
| onnx/model_int8.onnx | — | Download |
| onnx/model_q4.onnx | — | Download |
| onnx/model_quantized.onnx | — | Download |
| onnx/model_uint8.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/PekingU/rtdetr_r50vd with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
[!IMPORTANT] NOTE: RT-DETR support is experimental and requires you to install Transformers.js v3 from source.
If you haven't already, you can install the Transformers.js JavaScript library from GitHub using:
npm install xenova/transformers.js#v3
Example: Perform object-detection with onnx-community/rtdetr_r50vd.
import { pipeline } from '@xenova/transformers';
const detector = await pipeline('object-detection', 'onnx-community/rtdetr_r50vd');
const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const output = await detector(img, { threshold: 0.9 });
// [{
// score: 0.9720445871353149,
// label: 'cat',
// box: { xmin: 14, ymin: 54, xmax: 319, ymax: 472 }
// },
// ...
// {
// score: 0.9795005917549133,
// label: 'sofa',
// box: { xmin: 0, ymin: 0, xmax: 640, ymax: 472 }
// }]
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: 2024-06-28
Updated: 2024-10-08
View on Hugging Face