Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
Transformers.js
SegformerForSemanticSegmentation
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Instructions to use briaai/RMBG-1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use briaai/RMBG-1.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="briaai/RMBG-1.4", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("briaai/RMBG-1.4", trust_remote_code=True, device_map="auto") - Transformers.js
How to use briaai/RMBG-1.4 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'briaai/RMBG-1.4'); - Notebooks
- Google Colab
- Kaggle
Commit History
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Make it compatible without extra config on Transformers.js (#16)
Verified signature- Make it compatible without extra config on Transformers.js (7291666e10da8a37520462ab9c4d6b2108c250cf) - fix (2e60ef105c56dc7f3db68bb43eb545fe74215cd2) - Create config.json (3dbbb5427ede0f0ac1d859cdb1e6eb0333a7d650) Co-authored-by: Radamés Ajna <radames@users.noreply.huggingface.co>5d9eda8