Instructions to use ModelsLab/RMBG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelsLab/RMBG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ModelsLab/RMBG", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("ModelsLab/RMBG", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f35f7ad46ed4ab8922ba911a0f12c2536f60ee4bf0df47955eaa3d55de893952
- Size of remote file:
- 176 MB
- SHA256:
- 46ef7fe46f2ae284d8f1aaa24bfa5fca5ef25a34e2c7caa890a0029eb100e87f
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