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
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README.md
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## Me:
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Find me at GitHub: <a href="https://github.com/reidn3r">https://github.com/reidn3r</a> <br>
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Find me at Linkedin: <a href="https://www.linkedin.com/in/reidner-adnan/">https://www.linkedin.com/in/reidner-adnan/</a>
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Project repository: <a href="https://github.com/reidn3r/TensorFlow-U2-Net">GitHub repository</a>
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## Me:
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Find me at GitHub: <a href="https://github.com/reidn3r">https://github.com/reidn3r</a> <br>
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Find me at Linkedin: <a href="https://www.linkedin.com/in/reidner-adnan/">https://www.linkedin.com/in/reidner-adnan/</a> <br>
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Project repository: <a href="https://github.com/reidn3r/TensorFlow-U2-Net">GitHub repository</a>
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