Instructions to use PhucTG2k5P/css with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PhucTG2k5P/css with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PhucTG2k5P/css") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97fe69a7ad78695d3492bd2ee439eecc2ffe0b78cffc41f7264c9e1766dcd694
- Size of remote file:
- 716 kB
- SHA256:
- 3f53ea4f0f9ba9f4a366454336b8e7ec87c3537160477075decc50db052c4733
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