Instructions to use mubaraknumann/genera-cloud-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mubaraknumann/genera-cloud-image-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://mubaraknumann/genera-cloud-image-classification") - Notebooks
- Google Colab
- Kaggle
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You can use the attached streamlit code to test the model using GUI
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## Table of Contents
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1. [Model Description](#model-description)
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You can use the attached streamlit code to test the model using GUI.
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Steps -
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1. Place Files: Put the model.keras and label_mapping.json in the same directory as test_model_streamlit.py.
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2. Install Libraries:
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pip install streamlit tensorflow numpy Pillow
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3. Execute the .py file or run from Terminal:
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streamlit run test_model_streamlit.py
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## Table of Contents
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1. [Model Description](#model-description)
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