Instructions to use chaninder/trashtacks-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chaninder/trashtacks-model-final with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://chaninder/trashtacks-model-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af77dc73c1ead7d6b32a9aee1eba5e10c2bcd6151a8ba88b04c3d7c1c5021d5a
- Size of remote file:
- 3.53 MB
- SHA256:
- 0bf900fb034eb8c3667beabb65a41d218dd1e90e6dde99caea7275a6705e91df
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