Instructions to use svnfs/bokeh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use svnfs/bokeh with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://svnfs/bokeh") - Notebooks
- Google Colab
- Kaggle
Stavros Niafas commited on
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Parent(s): f20370a
update model card
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README.md
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license:
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license: mit
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- tensorflow
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pipeline_tag: image-classification
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library_name: keras
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datasets:
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widget:
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