Update NLP model names

Author: raviskolli

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

@@ -343,20 +343,20 @@ AutoML NLP allows you to provide a list of models and combinations of hyperparam
 
 All the pre-trained text DNN models currently available in AutoML NLP for fine-tuning are listed below: 
 
-* bert_base_cased 
-* bert_large_uncased 
-* bert_base_multilingual_cased 
-* bert_base_german_cased 
-* bert_large_cased 
-* distilbert_base_cased 
-* distilbert_base_uncased 
-* roberta_base 
-* roberta_large 
-* distilroberta_base 
-* xlm_roberta_base 
-* xlm_roberta_large 
-* xlnet_base_cased 
-* xlnet_large_cased 
+* bert-base-cased 
+* bert-large-uncased 
+* bert-base-multilingual-cased 
+* bert-base-german-cased 
+* bert-large-cased 
+* distilbert-base-cased 
+* distilbert-base-uncased 
+* roberta-base 
+* roberta-large 
+* distilroberta-base 
+* xlm-roberta-base 
+* xlm-roberta-large 
+* xlnet-base-cased 
+* xlnet-large-cased 
 
 Note that the large models are larger than their base counterparts. They are typically more performant, but they take up more GPU memory and time for training. As such, their SKU requirements are more stringent: we recommend running on ND-series VMs for the best results.