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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModelForImageSegmentation
model = AutoModelForImageSegmentation.from_pretrained("ModelsLab/RMBG", trust_remote_code=True, dtype="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ModelsLab/RMBG", trust_remote_code=True)