Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
Transformers.js
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Instructions to use briaai/RMBG-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use briaai/RMBG-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="briaai/RMBG-2.0", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("briaai/RMBG-2.0", trust_remote_code=True, device_map="auto") - Transformers.js
How to use briaai/RMBG-2.0 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'briaai/RMBG-2.0'); - Inference
- Notebooks
- Google Colab
- Kaggle
Fixed broken logo link
#48
by sagarvd01 - opened
Existing logo wasn't available on server. Instead fixed with the logo link, used in official website
fixed now, thanks for letting us know.
OriLib changed pull request status to closed
