Instructions to use Xenova/texify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/texify with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-to-text', 'Xenova/texify');
Download onnx/decoder_model_quantized.onnx from Xenova/texify: direct link, hf CLI and curl.
- Browser
- Download file 239 MB
-
https://huggingface.co/Xenova/texify/resolve/main/onnx/decoder_model_quantized.onnx
- Command line
-
hf download hf://Xenova/texify/onnx/decoder_model_quantized.onnx
-
curl -L -o decoder_model_quantized.onnx https://huggingface.co/Xenova/texify/resolve/main/onnx/decoder_model_quantized.onnx
239 MB
- Xet hash:
- a5008bf227b81191ccae91bf2a58e21da45878d2a38b032c2c7e44a17fa24c05
- Size of remote file:
- 239 MB
- SHA256:
- 8ed0845be59ad059bcd8f3b7a053c7161d563fd9a4ac7e6edad2b237930c181a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.