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:
- f72f91b81e30ec771a6d85d65459302abc263878cc38b9f8ea49f675fab3844f
- Size of remote file:
- 612 kB
- SHA256:
- b321c80c3de3b1e4fd8ba3e20aaa27dfa65c4b6c907b0b57f90a3fd4f3679e03
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