Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

wlaminack
/
GradientBoostedTreesModeltest

Object Detection
Keras
TF-Keras
newtag
Model card Files Files and versions
xet
Community
1

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
GradientBoostedTreesModeltest
652 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Wauplin's picture
Wauplin HF Staff
Set `library_name` to `tf-keras`.
bde0ecd verified almost 2 years ago
  • assets
    testing from colab over 2 years ago
  • variables
    testing from colab over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    878 Bytes
    Set `library_name` to `tf-keras`. almost 2 years ago
  • fingerprint.pb
    57 Bytes
    xet
    testing from colab over 2 years ago
  • keras_metadata.pb
    2.76 kB
    xet
    testing from colab over 2 years ago
  • model.png
    2.95 kB
    testing from colab over 2 years ago
  • saved_model.pb
    58.6 kB
    xet
    testing from colab over 2 years ago