Instructions to use dross20/simpsons-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dross20/simpsons-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://dross20/simpsons-classification-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65543ec109826ec62189ab54e75e2dc7b38ae5c6ec66e29f27fdebb317f97c5b
- Size of remote file:
- 123 MB
- SHA256:
- 8dbd8a20244e91353f7dd3f9ffbc3313eeb2061237b965f008d8d58cad36cb3f
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