Instructions to use pavankm96/brain_tumor_det with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pavankm96/brain_tumor_det with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pavankm96/brain_tumor_det") - Notebooks
- Google Colab
- Kaggle
Update app.py
Browse files
app.py
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@@ -3,7 +3,7 @@ import numpy as np
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import tensorflow as tf
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# Load your model
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model = tf.keras.models.load_model("model.h5") # Ensure this is the correct path to your model
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def predict(image):
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# Preprocess the image for prediction
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import tensorflow as tf
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# Load your model
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model = tf.keras.models.load_model("model/Brain_tumor_pred.h5") # Ensure this is the correct path to your model
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def predict(image):
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# Preprocess the image for prediction
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