Instructions to use SondosM/api_GP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SondosM/api_GP with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://SondosM/api_GP") - Notebooks
- Google Colab
- Kaggle
Upload classifier.pkl
Browse files- classifier.pkl +3 -0
classifier.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:29ff3516447c1d913832b1a8c915e1ad87fd19a08f746152f1d10d99c82f8fff
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size 52686105
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