Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
SegformerForSemanticSegmentation
remove background
background
background-removal
Pytorch
vision
legal liability
custom_code
Instructions to use hoanshf/RMBG-1.4-FORK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoanshf/RMBG-1.4-FORK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="hoanshf/RMBG-1.4-FORK", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("hoanshf/RMBG-1.4-FORK", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
15a19e0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2b7f08fc4c09db56b516186c0629f72523a5cbe328beaedda8b36349af4b04bc
size 1251942
|