Image Segmentation
Transformers
Safetensors
English
layer decomposition
image segmentation
image matting
design
custom_code
Instructions to use cyberagent/layerd-birefnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyberagent/layerd-birefnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="cyberagent/layerd-birefnet", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("cyberagent/layerd-birefnet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| torch==2.5.1 | |
| torchvision | |
| numpy<2 | |
| opencv-python | |
| timm | |
| scipy | |
| scikit-image | |
| kornia | |
| einops | |
| tqdm | |
| prettytable | |
| transformers | |
| huggingface-hub>0.25 | |
| accelerate | |