Instructions to use igman101/fruit_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use igman101/fruit_classifier_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://igman101/fruit_classifier_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07eaa0886ab9b32b5a026d1542bde45bf5c2e5e05b277b5bb386f48aeb9cba81
- Size of remote file:
- 32.4 MB
- SHA256:
- 419aefc785deb14a35efe36c9f4ce40e88529d628d408a25b21f41c2d723421c
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