Instructions to use reidn3r/u2net-image-rembg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use reidn3r/u2net-image-rembg with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://reidn3r/u2net-image-rembg") - Notebooks
- Google Colab
- Kaggle
Download config.json from reidn3r/u2net-image-rembg: direct link, hf CLI and curl.
- Browser
- Download file 412 kB
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https://huggingface.co/reidn3r/u2net-image-rembg/resolve/main/config.json
- Command line
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hf download hf://reidn3r/u2net-image-rembg/config.json
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curl -L -o config.json https://huggingface.co/reidn3r/u2net-image-rembg/resolve/main/config.json
412 kB