Instructions to use onnx-community/maskformer-resnet50-ade20k-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/maskformer-resnet50-ade20k-full with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'onnx-community/maskformer-resnet50-ade20k-full');
- Xet hash:
- ed17eb5ca1445e4da6da1f328c154a416f53dfdddf990044bad520512f9a393b
- Size of remote file:
- 166 MB
- SHA256:
- 9f3e94feb6fde1d8f6486dc9a6b8f23bcafba51200e3c7246fbf564493e4ab2e
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