Instructions to use 23smartfactory/Welding_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 23smartfactory/Welding_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://23smartfactory/Welding_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6db71970df134a5188b153ba4e74ed93d9a0ecab6fcfa90affc0ae081014df30
- Size of remote file:
- 438 kB
- SHA256:
- 68ff4d43e59e3c349d0ef3e8d2a6956f64e78c1cbc238cbba2736b213a2b8cb3
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