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Frameworks

Here are the all of the supported ML frameworks for BentoML. You can find the official BentoML example projects in the bentoml/gallery repository, group by the ML training frameworks used in the project.

You can download the examples below and run them on your computer. Links to run them on Google Colab are also available, although some of the features demo'd in the notebooks does not work in the Colab environment due to its limitations, including running the BentoML API model server, building docker image or creating cloud deployment.

Scikit-Learn

Example Projects:

bentoml.artifact.SklearnModelArtifact

PyTorch

Example Projects:

bentoml.artifact.PytorchModelArtifact

Tensorflow 2.0

Example Projects:

bentoml.artifact.TensorflowSavedModelArtifact

Tensorflow Keras

Example Projects:

bentoml.artifact.KerasModelArtifact

FastAI

Example Projects:

bentoml.artifact.FastaiModelArtifact

bentoml.adapters.FastaiImageInput

XGBoost

Example Projects:

bentoml.artifact.XgboostModelArtifact

LightGBM

Example Projects:

bentoml.artifact.LightGBMModelArtifact

FastText

Example Projects:

bentoml.artifact.FasttextModelArtifact

H2O

Example Projects:

bentoml.artifact.H2oModelArtifact