Instructions to use MAS-AI-0000/GameNet-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MAS-AI-0000/GameNet-1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MAS-AI-0000/GameNet-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1ee1873958f192e8163e6287b9bb4df0c29ff4988a3b54e315aed569de160bd
- Size of remote file:
- 50.5 MB
- SHA256:
- ebc2ef0bef989cd43599b3cc90f8d35873b9a8f048243c388cc64fa2551d6dcf
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