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Fixed up typo
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abchoo committed Jan 20, 2021
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Expand Up @@ -37,7 +37,7 @@ The general overview of multi-model serving:

### Integration with model servers
Multi-model serving will work with any model server that implements KFServing V2 protocol. More specifically, if the model server implements the load and unload endpoint then it can use KFServing's TrainedModel.
Currently, the only supported frameworks are Triton, SKLearn, and XGBoost. Click on [Triton](https://github.com/kubeflow/kfserving/tree/master/docs/samples/v1beta1/triton/multimodel) or [SKLearn](https://github.com/kubeflow/kfserving/tree/master/docs/samples/v1beta1/sklearn/multimodel) to see examples on how to run multi-model serving!
Currently, the only supported model servers are Triton, SKLearn, and XGBoost. Click on [Triton](https://github.com/kubeflow/kfserving/tree/master/docs/samples/v1beta1/triton/multimodel) or [SKLearn](https://github.com/kubeflow/kfserving/tree/master/docs/samples/v1beta1/sklearn/multimodel) to see examples on how to run multi-model serving!



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