Instructions to use yuvinraja/image-forgery-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yuvinraja/image-forgery-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://yuvinraja/image-forgery-model") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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metrics:
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- accuracy
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- precision
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pipeline_tag: image-classification
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library_name: keras
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tags:
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- image
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- image-forgery-detection
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- deep-learning
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- cnn
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- CASIA2
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