Instructions to use SBB/eynollah-image-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SBB/eynollah-image-extraction with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SBB/eynollah-image-extraction") - Keras
How to use SBB/eynollah-image-extraction with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://SBB/eynollah-image-extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99aaf820e3b3bc5bb72c27dc03e662069e20addd0ac727e809d03ac65a9ca1c5
- Size of remote file:
- 4.9 MB
- SHA256:
- d8046b0b7751a1d1741bd0b61111671472ea49c6a347e2f10f0a8ba54b612c05
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