Image Segmentation
Transformers
ONNX
Transformers.js
English
u2net
mask-generation
vision
background-removal
portrait-matting
Instructions to use sunseeker001/U-2-Net-Human-Seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunseeker001/U-2-Net-Human-Seg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="sunseeker001/U-2-Net-Human-Seg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sunseeker001/U-2-Net-Human-Seg", dtype="auto") - Transformers.js
How to use sunseeker001/U-2-Net-Human-Seg with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'sunseeker001/U-2-Net-Human-Seg'); - Notebooks
- Google Colab
- Kaggle
Ctrl+K