Instructions to use nico9ga/fruits-Classification-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nico9ga/fruits-Classification-Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nico9ga/fruits-Classification-Model") - Notebooks
- Google Colab
- Kaggle
Clasificador de Frutas
Este modelo es para la clasificacion de ciertos tipos de frutas dentro de las cuales encontramos:
-Banano
-Durazno
-Fresa
-Guayaba
-Kiwi
-Limon
-Mandarina
-Mango
-Manzana
-Manzana Verde
-Melon
-Naranja
-Papaya
-Pera
-Piña
-Sandia
-Tomate de Arbol
- Downloads last month
- 14
Space using nico9ga/fruits-Classification-Model 1
Evaluation results
- Accuracyself-reported0.990
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nico9ga/fruits-Classification-Model")