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@@ -150,11 +150,12 @@ Test data results:
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  With Keras 3 / Tensorflow 2.19 and over:
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  ```python
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- model_sdh = keras.models.load_model("model.keras")
 
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  ```
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- Resizing and rescaling layer are already implemented. You simply need to provide your images images numpy float32
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- array (0-255).
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  ## The Team Behind this Dataset
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  With Keras 3 / Tensorflow 2.19 and over:
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  ```python
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+ import keras
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+ model = keras.saving.load_model("hf://corentinm7/MyoQuant-SDH-Model")
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  ```
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+ Resizing and rescaling layer are already implemented inside the model. You simply need to provide your input images as numpy float32
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+ array (0-255) of any shape (None, None, 3) (3 channels - RGB).
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  ## The Team Behind this Dataset
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