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:
- e12246c8806630137bebcb09debc89f6216381c2a52544601ab07a72eca2c8fe
- Size of remote file:
- 438 MB
- SHA256:
- 45d7bae53ab872f8d3a880b82fc574c38b212df79209585f11c68e0e17254d45
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