Image-to-Text
Transformers.js
ONNX
vision-encoder-decoder
image-text-to-text
donut
vision
donut-swin
Instructions to use Xenova/donut-base-finetuned-cord-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/donut-base-finetuned-cord-v2 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-to-text', 'Xenova/donut-base-finetuned-cord-v2');
https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v2 with ONNX weights to be compatible with Transformers.js.
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).
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Model tree for Xenova/donut-base-finetuned-cord-v2
Base model
naver-clova-ix/donut-base-finetuned-cord-v2