Instructions to use litert-community/BiRefNet-Lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/BiRefNet-Lite with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- BiRefNet
How to use litert-community/BiRefNet-Lite with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("litert-community/BiRefNet-Lite", trust_remote_code=True)# Option 2: use with BiRefNet # Install from https://github.com/ZhengPeng7/BiRefNet from models.birefnet import BiRefNet model = BiRefNet.from_pretrained("litert-community/BiRefNet-Lite") - Notebooks
- Google Colab
- Kaggle
Download BiRefNet-Lite-fp32.tflite from litert-community/BiRefNet-Lite: direct link, hf CLI and curl.
- Browser
- Download file 184 MB
-
https://huggingface.co/litert-community/BiRefNet-Lite/resolve/main/BiRefNet-Lite-fp32.tflite
- Command line
-
hf download hf://litert-community/BiRefNet-Lite/BiRefNet-Lite-fp32.tflite
-
curl -L -o BiRefNet-Lite-fp32.tflite https://huggingface.co/litert-community/BiRefNet-Lite/resolve/main/BiRefNet-Lite-fp32.tflite
184 MB
- Xet hash:
- fee2bd7b7731371cfca8290dfcda61440d24ad81093f1c60213066b8ba041fb0
- Size of remote file:
- 184 MB
- SHA256:
- ddfafe4f881ea08dca4bef19391136989a21a53aea12fc639d275fd4c643677d
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