Instructions to use nobg/BiRefNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use nobg/BiRefNet with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("nobg/BiRefNet", trust_remote_code=True)# Option 2: use with BiRefNet # Install from https://github.com/ZhengPeng7/BiRefNet from models.birefnet import BiRefNet model = BiRefNet.from_pretrained("nobg/BiRefNet") - Notebooks
- Google Colab
- Kaggle
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library_name: nobg
tags:
- birefnet
- model_hub_mixin
- nobg
- pytorch_model_hub_mixin
---
<p align="center">
<img src="https://usefeyn.com/feyn/feyn_mark.svg"/>
</p>
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration.
Library: [nobg](https://github.com/feyninc/nobg)
## how to load
```
pip install nobg
```
use the AutoModel class
```python
from nobg import AutoModel
model = AutoModel.from_pretrained("nobg/BiRefNet")
```
or you can use the model class directly
```python
from nobg import BiRefNet
model = BiRefNet.from_pretrained("nobg/BiRefNet")
```
## Citation
If you use this model, please cite the original paper
(https://arxiv.org/abs/2401.03407):
```bibtex
@article{zheng2024birefnet,
title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and
Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
journal={CAAI Artificial Intelligence Research},
year={2024}
}
```
## Contributions
Any contributions are welcome at https://github.com/feyninc/nobg
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