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:
- 842ef25b13c52e18ba06bcfc1394b4bca01e6f4db632373fa466045037858abd
- Size of remote file:
- 132 MB
- SHA256:
- 784ebf5e45424a3f808400500b26016bffbc0440792e29c1606139d761e36434
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