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Ko033
/
isnet-general-use-onnx

Image Segmentation
Transformers.js
ONNX
custom
background-removal
dichotomous-image-segmentation
Model card Files Files and versions
xet
Community

Instructions to use Ko033/isnet-general-use-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use Ko033/isnet-general-use-onnx with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('image-segmentation', 'Ko033/isnet-general-use-onnx');
isnet-general-use-onnx
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Ko033's picture
Ko033
Dynamic input dims: rewire Resize sizes to runtime Shape of skip/input (was 1024x1024 baked constants). Bit-exact at 1024.
5349b61 verified 19 days ago
  • onnx
    Dynamic input dims: rewire Resize sizes to runtime Shape of skip/input (was 1024x1024 baked constants). Bit-exact at 1024. 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • README.md
    1.29 kB
    Add isnet-general-use ONNX (aux outputs stripped, ceil_mode fix, fp16/q8) 21 days ago
  • config.json
    60 Bytes
    Add isnet-general-use ONNX (aux outputs stripped, ceil_mode fix, fp16/q8) 21 days ago
  • preprocessor_config.json
    380 Bytes
    Add isnet-general-use ONNX (aux outputs stripped, ceil_mode fix, fp16/q8) 21 days ago