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:
- 3ef0f5c0bf082d80e683c90d5f80809936da855d0d39b2f4499fcb40b5141ac3
- Size of remote file:
- 1.33 GB
- SHA256:
- 0e73fde2311c64e99a0c29523fe1eb76f7ecec7f0f60248cf74a4b50dd9b6207
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.