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:
- def040d36a568f9c73b9745dbcaab6a9bf9d98fdb08bba90036443ad3af57c31
- Size of remote file:
- 42.7 MB
- SHA256:
- 2ca6ac19d0856333e811b2e0148b2fcb9a186693193d993a303fac0b98d184cb
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