Instructions to use Xenova/pix2struct-textcaps-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/pix2struct-textcaps-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-textcaps-base');
Download onnx/decoder_model_merged_quantized.onnx from Xenova/pix2struct-textcaps-base: direct link, hf CLI and curl.
- Browser
- Download file 193 MB
-
https://huggingface.co/Xenova/pix2struct-textcaps-base/resolve/main/onnx/decoder_model_merged_quantized.onnx
- Command line
-
hf download hf://Xenova/pix2struct-textcaps-base/onnx/decoder_model_merged_quantized.onnx
-
curl -L -o decoder_model_merged_quantized.onnx https://huggingface.co/Xenova/pix2struct-textcaps-base/resolve/main/onnx/decoder_model_merged_quantized.onnx
193 MB
- Xet hash:
- 453ee22e20fb44939169598a4efda0dc3a981f5301453d0a9ec6eb1b166576d3
- Size of remote file:
- 193 MB
- SHA256:
- d537d7d85bf83c51729d95fc33b9117d843f38dec37b708b03d233521e4a54d0
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