Instructions to use onnx-community/Qwen2-VL-2B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/Qwen2-VL-2B-Instruct with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-text-to-text', 'onnx-community/Qwen2-VL-2B-Instruct');
- Xet hash:
- 1b8db658880d15ed1d414488d77c5d1613f0b0a60b674eb2ffaccc8d2484ca20
- Size of remote file:
- 813 kB
- SHA256:
- cfb545b801fe12aadf63e6fea2672118953a9ea4a6f93f3f54ef5a5abf640536
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.