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
Upload fruits_detection.keras
Browse files- fruits_detection.keras +3 -0
fruits_detection.keras
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version https://git-lfs.github.com/spec/v1
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oid sha256:281a958793cf09b8c000ebb90e4fce386c997d2d7db8dbbd647be59aaaa7988d
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size 95392611
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