Instructions to use onnx-community/ISNet-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/ISNet-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'onnx-community/ISNet-ONNX');
File size: 339 Bytes
23a5a56 9b19c82 23a5a56 9b19c82 23a5a56 9b19c82 23a5a56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"do_normalize": true,
"do_rescale": false,
"do_resize": true,
"feature_extractor_type": "ViTFeatureExtractor",
"image_mean": [
128,
128,
128
],
"image_processor_type": "ViTFeatureExtractor",
"image_std": [
256,
256,
256
],
"resample": 2,
"size": {
"height": 1024,
"width": 1024
}
} |