Image Classification
Keras
TF-Keras
English
EfficientNetB0
image
multi-classification
fakeimagedetection
vision
Instructions to use kampkelly/fakeimagedetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kampkelly/fakeimagedetection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kampkelly/fakeimagedetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac50adf8ff34bc0d262905eb35cd0adef9c8593590d0cc08ea7a6a55395e50c1
- Size of remote file:
- 6.1 MB
- SHA256:
- da67da14a9dad6e68da9c27b5ab962d3f6231dbbc549ff9bf0a12a30ffdc1e0a
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