Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
Transformers.js
remove background
background
background-removal
Pytorch
vision
legal liability
custom_code
Instructions to use mohantesting/remove_background with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohantesting/remove_background with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mohantesting/remove_background", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("mohantesting/remove_background", trust_remote_code=True, dtype="auto") - Transformers.js
How to use mohantesting/remove_background with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'mohantesting/remove_background'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf3310d90febf3af7275614b501421379952cd5a9e157c59c077465b1bd5f8e4
- Size of remote file:
- 885 MB
- SHA256:
- 566ed80c3d95f87ada6864d4cbe2290a1c5eb1c7bb0b123e984f60f76b02c3a7
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