Instructions to use 0xnu/AGTD-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 0xnu/AGTD-v0.1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://0xnu/AGTD-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bad6d49016671210247ac63fdca4e28d97a2feb244deaf0a0475f917d8c664bb
- Size of remote file:
- 274 MB
- SHA256:
- adff9f933ae9258dbc163e32c288de418206beaf2d11fbdc99055014916f6064
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