Instructions to use cnginn/indonesiafoodimageclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cnginn/indonesiafoodimageclassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://cnginn/indonesiafoodimageclassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec518c1177665a1d6f18dcc729e041caeb688d8f04d3efd41e364e8a24ca70cb
- Size of remote file:
- 178 MB
- SHA256:
- ea795486300d5903886db1df368f3a6f9f460f3cf723fe2838c8e5c2c10c84aa
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