Instructions to use nhradek/FLUX-Detection-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nhradek/FLUX-Detection-Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nhradek/FLUX-Detection-Classifier") - Notebooks
- Google Colab
- Kaggle
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@@ -20,8 +20,7 @@ The steps to create the embeddings can be described as:
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The preprocessing code along with the predict can calculate the embeddings for classification.
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# load an image and apply the fourier transform
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import numpy as np
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The preprocessing code along with the predict can calculate the embeddings for classification.
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```python
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# load an image and apply the fourier transform
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import numpy as np
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