Instructions to use tester-123456789/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tester-123456789/test2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tester-123456789/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d73589ce5252f10d24cb117d76492cda925c87dbe63475def95d7aac90d63d20
- Size of remote file:
- 8.42 kB
- SHA256:
- 59be6034364fbc93452a6963bd78071b928f590968e9d4c90dc164b1a3cc0e76
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