Instructions to use wlaminack/GradientBoostedTreesModeltest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use wlaminack/GradientBoostedTreesModeltest with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://wlaminack/GradientBoostedTreesModeltest") - Notebooks
- Google Colab
- Kaggle
File size: 127 Bytes
ab27b1d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1 oid sha256:8492370a86fea4c2fa4c6b669793332d97a163a8bb285406308a7478c9684435 size 57 |