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

- Xet hash:
- 0196bd3b3912ab1ab52f2ba8f4883b3195d24cd4da43bb5cfb272d1425b09981
- Size of remote file:
- 327 kB
- SHA256:
- 1e9cff13a43d13ec0d0d733a55234e862a35c282cdbfa197c85223a937f28a56
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