https://huggingface.co/microsoft/dit-large with ONNX weights to be compatible with Transformers.js.
If you haven't already, you can install the
Transformers.js JavaScript library from
NPM using:
1import { pipeline } from '@huggingface/transformers';
2
3const image_feature_extractor = await pipeline('image-feature-extraction', 'Xenova/dit-large');
4const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/cats.png';
5const features = await image_feature_extractor(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).
