diff --git a/content/learning-paths/servers-and-cloud-computing/nlp-hugging-face/pytorch-nlp-hf.md b/content/learning-paths/servers-and-cloud-computing/nlp-hugging-face/pytorch-nlp-hf.md
index 21d908c1ce..5640d0c701 100644
--- a/content/learning-paths/servers-and-cloud-computing/nlp-hugging-face/pytorch-nlp-hf.md
+++ b/content/learning-paths/servers-and-cloud-computing/nlp-hugging-face/pytorch-nlp-hf.md
@@ -40,7 +40,6 @@ You are now ready to download this model and run a full classification example f
 
 ```python
 from transformers import AutoModelForSequenceClassification
-from transformers import TFAutoModelForSequenceClassification
 from transformers import AutoTokenizer, AutoConfig
 import numpy as np
 from scipy.special import softmax
@@ -104,7 +103,6 @@ Now that you have run the model, let's add the ability to profile the model exec
 
 ```python
 from transformers import AutoModelForSequenceClassification
-from transformers import TFAutoModelForSequenceClassification
 from transformers import AutoTokenizer, AutoConfig
 import numpy as np
 from scipy.special import softmax