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:
- d62015b44a0965842d4c8e547f94f09c014a31a11a27bcc7966571b5605f1870
- Size of remote file:
- 844 kB
- SHA256:
- 85c5b2763628d01cac5cf87efc12edd4523edc4820445f5ae40c5b3ada0f5c1f
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