Update articles/machine-learning/how-to-auto-train-nlp-models.md

Author: ShannonLeavitt

articles/machine-learning/how-to-auto-train-nlp-models.md

@@ -362,7 +362,7 @@ Note that the large models are larger than their base counterparts. They are typ
 
 ## Supported model algorithms - HuggingFace (preview)
 
-With the new backend that runs on [AzureML Pipelines](concept-ml-pipelines.md), you can additionally use any text/token classification model from the HuggingFace Hub for [Text Classification](https://huggingface.co/models?pipeline_tag=text-classification&library=transformers), [Token Classification](https://huggingface.co/models?pipeline_tag=token-classification&sort=trending) which is part of the transformers library (such as microsoft/deberta-large-mnli). You may also find a curated list of models in [AzureML Model Registry](concept-foundation-models.md?view=azureml-api-2&preserve-view=true) that have been validated with the pipeline components.
+With the new backend that runs on [Azure Machine Learning pipelines](concept-ml-pipelines.md), you can additionally use any text/token classification model from the HuggingFace Hub for [Text Classification](https://huggingface.co/models?pipeline_tag=text-classification&library=transformers), [Token Classification](https://huggingface.co/models?pipeline_tag=token-classification&sort=trending) which is part of the transformers library (such as microsoft/deberta-large-mnli). You may also find a curated list of models in [Azure Machine Learning model registry](concept-foundation-models.md?view=azureml-api-2&preserve-view=true) that have been validated with the pipeline components.
 
 Using any HuggingFace model will trigger runs using pipeline components. If both legacy and HuggingFace models are used, all runs/trials will be triggered using components.