Instructions to use Xenova/pix2struct-docvqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/pix2struct-docvqa-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-text-to-text', 'Xenova/pix2struct-docvqa-base');
Download onnx/decoder_model.onnx from Xenova/pix2struct-docvqa-base: direct link, hf CLI and curl.
- Browser
- Download file 762 MB
-
https://huggingface.co/Xenova/pix2struct-docvqa-base/resolve/main/onnx/decoder_model.onnx
- Command line
-
hf download hf://Xenova/pix2struct-docvqa-base/onnx/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/Xenova/pix2struct-docvqa-base/resolve/main/onnx/decoder_model.onnx
762 MB
- Xet hash:
- fa967e38a0f2353239718a02eb9f64ec5eee8414819765e6d5c878da6314f778
- Size of remote file:
- 762 MB
- SHA256:
- 005e8e38c2ae0cc120a47e77927384490b3d4246c0320f42fb62a37752752929
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