Instructions to use chabdullah0566/Omnivision_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chabdullah0566/Omnivision_Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://chabdullah0566/Omnivision_Classifier") - Notebooks
- Google Colab
- Kaggle
File size: 308 Bytes
b5c3c4f | 1 | ["lion", "tiger", "leopard", "elephant", "camel", "bear", "rabbit", "mouse", "squirrel", "dolphin", "whale", "shark", "snake", "lizard", "crocodile", "bus", "pickup_truck", "train", "bicycle", "motorcycle", "apple", "orange", "pear", "rose", "tulip", "sunflower", "skyscraper", "house", "rocket", "mushroom"] |