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
Upload models of eynollah-image-extraction
Browse files- fingerprint.pb +3 -0
- keras_metadata.pb +3 -0
- saved_model.pb +3 -0
fingerprint.pb
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keras_metadata.pb
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oid sha256:b321c80c3de3b1e4fd8ba3e20aaa27dfa65c4b6c907b0b57f90a3fd4f3679e03
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saved_model.pb
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oid sha256:d8046b0b7751a1d1741bd0b61111671472ea49c6a347e2f10f0a8ba54b612c05
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size 4901413
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