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:
- 59691efe6af2fe4a004bf4ce1538bc2c35044a0149f440fb08758c9c355afb13
- Size of remote file:
- 438 MB
- SHA256:
- f56c3114217b85a49fb08f77259b74fe9c23b4d452da271dd4b86a3b4d3b83e9
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