Text Generation
Transformers.js
ONNX
qwen3_5_text
webgpu
onnxruntime
onnxruntime-genai
q4
q4f16
int4
cuda
Mixture of Experts
conversational
Instructions to use webbrain-one/Ling-3.0-tiny-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use webbrain-one/Ling-3.0-tiny-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'webbrain-one/Ling-3.0-tiny-ONNX');
- Xet hash:
- d46a4df47ba974135e798954180dcb808e6d0622aa8ac4a3cbcd980f082ee791
- Size of remote file:
- 806 kB
- SHA256:
- cdd5029c67a427156a92938f8389482e597324f05ff1b08b364e473b9e75da11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.