Xenova/owlv2-base-patch16
By Xenova · ↓ 15 · ♥ 0 · Updated 2025-07-08
What's in this repo
This page lists the files in Xenova/owlv2-base-patch16, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.
- 7 ONNX models (.onnx files)
- 17 files, including 7 .json, 7 .onnx, 1 .md, 1 .txt
- Last updated 2025-07-08
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model.onnx | — | Download |
| onnx/model_bnb4.onnx | — | Download |
| onnx/model_fp16.onnx | — | Download |
| onnx/model_q4.onnx | — | Download |
| onnx/model_q4f16.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/google/owlv2-base-patch16 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: Zero-shot object detection.
import { pipeline } from '@huggingface/transformers';
const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlv2-base-patch16');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/astronaut.png';
const candidate_labels = ['human face', 'rocket', 'helmet', 'american flag'];
const output = await detector(url, candidate_labels);
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: 2024-02-09
Updated: 2025-07-08
View on Hugging Face