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:
- dc5dd756ce68bfd8f2fc3867babbab257e4877fe3525e6e2bc0133e3ecf30459
- Size of remote file:
- 518 Bytes
- SHA256:
- 40f4e059c717e30230dc44bd14493a1576163755a6a9c0fcfdbab9b4117ecbac
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