Instructions to use gabri14el/grapevine_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gabri14el/grapevine_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://gabri14el/grapevine_classification") - Notebooks
- Google Colab
- Kaggle
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# Classification of Grape
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The full credit goes to: [Gabriel Carneiro] (https://www.linkedin.com/in/gabriel-carneiro-81a13a64/)
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## Supported
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- C贸dega
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- Moscatel Galego
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- Rabigato
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# Classification of Grape Varieties using Convolutional Neural Network Models
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The full credit goes to: [Gabriel Carneiro] (https://www.linkedin.com/in/gabriel-carneiro-81a13a64/)
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## Supported varieties
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- C贸dega
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- Moscatel Galego
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- Rabigato
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