Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
Transformers.js
remove background
background
background-removal
Pytorch
vision
legal liability
custom_code
Instructions to use tuandao-zenai/rm_bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuandao-zenai/rm_bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="tuandao-zenai/rm_bg", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("tuandao-zenai/rm_bg", trust_remote_code=True, dtype="auto") - Transformers.js
How to use tuandao-zenai/rm_bg with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'tuandao-zenai/rm_bg'); - Notebooks
- Google Colab
- Kaggle
Ctrl+K