Commit
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68dfad6
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Parent(s):
ea43110
Capitalize the BiRefNet when used as the HF model name.
Browse files
README.md
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---
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-
library_name:
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tags:
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- background-removal
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- mask-generation
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<a href='https://drive.google.com/drive/folders/1s2Xe0cjq-2ctnJBR24563yMSCOu4CcxM'><img src='https://img.shields.io/badge/Drive-Stuff-green'></a> 
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<a href='LICENSE'><img src='https://img.shields.io/badge/License-MIT-yellow'></a> 
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<a href='https://huggingface.co/spaces/ZhengPeng7/BiRefNet_demo'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HF%20Spaces-BiRefNet-blue'></a> 
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<a href='https://huggingface.co/ZhengPeng7/
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<a href='https://colab.research.google.com/drive/14Dqg7oeBkFEtchaHLNpig2BcdkZEogba?usp=drive_link'><img src='https://img.shields.io/badge/Single_Image_Inference-F9AB00?style=for-the-badge&logo=googlecolab&color=525252'></a> 
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<a href='https://colab.research.google.com/drive/1MaEiBfJ4xIaZZn0DqKrhydHB8X97hNXl#scrollTo=DJ4meUYjia6S'><img src='https://img.shields.io/badge/Inference_&_Evaluation-F9AB00?style=for-the-badge&logo=googlecolab&color=525252'></a> 
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</div>
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```python
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# Load BiRefNet with weights
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from transformers import AutoModelForImageSegmentation
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birefnet = AutoModelForImageSegmentation.from_pretrained('zhengpeng7/
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```
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#### Use codes from GitHub + weights from HuggingFace
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from models.birefnet import BiRefNet
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# Load weights from Hugging Face Models
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birefnet = BiRefNet.from_pretrained('zhengpeng7/
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```
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#### Use codes from GitHub + weights from HuggingFace
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---
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library_name: BiRefNet
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tags:
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- background-removal
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- mask-generation
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<a href='https://drive.google.com/drive/folders/1s2Xe0cjq-2ctnJBR24563yMSCOu4CcxM'><img src='https://img.shields.io/badge/Drive-Stuff-green'></a> 
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<a href='LICENSE'><img src='https://img.shields.io/badge/License-MIT-yellow'></a> 
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<a href='https://huggingface.co/spaces/ZhengPeng7/BiRefNet_demo'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HF%20Spaces-BiRefNet-blue'></a> 
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<a href='https://huggingface.co/ZhengPeng7/BiRefNet-portrait'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HF%20Models-BiRefNet-blue'></a> 
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<a href='https://colab.research.google.com/drive/14Dqg7oeBkFEtchaHLNpig2BcdkZEogba?usp=drive_link'><img src='https://img.shields.io/badge/Single_Image_Inference-F9AB00?style=for-the-badge&logo=googlecolab&color=525252'></a> 
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<a href='https://colab.research.google.com/drive/1MaEiBfJ4xIaZZn0DqKrhydHB8X97hNXl#scrollTo=DJ4meUYjia6S'><img src='https://img.shields.io/badge/Inference_&_Evaluation-F9AB00?style=for-the-badge&logo=googlecolab&color=525252'></a> 
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</div>
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```python
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# Load BiRefNet with weights
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from transformers import AutoModelForImageSegmentation
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birefnet = AutoModelForImageSegmentation.from_pretrained('zhengpeng7/BiRefNet-portrait', trust_remote_code=True)
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```
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#### Use codes from GitHub + weights from HuggingFace
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from models.birefnet import BiRefNet
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# Load weights from Hugging Face Models
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birefnet = BiRefNet.from_pretrained('zhengpeng7/BiRefNet-portrait')
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```
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#### Use codes from GitHub + weights from HuggingFace
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