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:
- 3074a3426bdd9120d8a437f58746fce98a8096bc75a61ed11bb4f4ba5c398fbf
- Size of remote file:
- 47 Bytes
- SHA256:
- c488749928c2e33ea55133d4a9e4d582c29377dd7322d28fb9b916be257bcde1
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