---
library_name: transformers.js
tags:
  - vision
  - image-feature-extraction
  - onnx
  - transformers.js
  - dinov3
license: other
---

# EUPE ViT-S/16 ONNX

ONNX export of [`kittn/eupe_vits16`](https://huggingface.co/kittn/eupe_vits16) for `transformers.js` image feature extraction.

This repo contains:
- `config.json`
- `preprocessor_config.json`
- `onnx/model.onnx`

The exported model takes dynamic `pixel_values` shaped `[batch, channels, height, width]` and returns dynamic `last_hidden_state` shaped `[batch, sequence_length, hidden]`.

Minimal `transformers.js` usage:

```js
import { pipeline, RawImage } from "@huggingface/transformers";

const extractor = await pipeline("image-feature-extraction", "kittn/eupe_vits16-onnx", {
  device,
  dtype,
});

extractor.processor.image_processor.do_resize = false;

const imageData = await RawImage.fromCanvas(imageCanvas);
const features = await extractor(imageData, { pooling: "none" });

const numRegisterTokens = extractor.model.config.num_register_tokens ?? 0;
const patchFeatures = features.slice(null, [1 + numRegisterTokens, null]);
const normalizedFeatures = patchFeatures.normalize(2, -1);
```