Instructions to use suyagi/sains-data-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use suyagi/sains-data-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://suyagi/sains-data-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48bb7907604d58a8a35de4354c96b9c282a38ea2b6c66bcfcc5a872d032bd205
- Size of remote file:
- 1.32 kB
- SHA256:
- 6218b7540e544e7f66cb1ac70406a4847e8b43e0b81a83e9a62514e018767b67
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