Instructions to use daibs/kualitasdaging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use daibs/kualitasdaging with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://daibs/kualitasdaging") - Notebooks
- Google Colab
- Kaggle
Asadel Ann commited on
Commit ·
d16ae07
1
Parent(s): 904abfa
Update config.json
Browse files- config.json +6 -1
config.json
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"id2label": {
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"0": "Busuk",
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"1": "Segar",
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"2": "Setengah"
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}
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{
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"id2label": {
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"0": "Busuk",
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"1": "Segar",
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"2": "Setengah"
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},
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"num_channels": 3
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}
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