Fix doctests for `DeiT` and `TFGroupViT` (#19466)

* Fix some doctests
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

src/transformers/models/deit/modeling_deit.py

@@ -731,7 +731,7 @@ class DeiTForImageClassification(DeiTPreTrainedModel):
         >>> # model predicts one of the 1000 ImageNet classes
         >>> predicted_class_idx = logits.argmax(-1).item()
         >>> print("Predicted class:", model.config.id2label[predicted_class_idx])
-        Predicted class: maillot
+        Predicted class: magpie
         ```"""
         return_dict = return_dict if return_dict is not None else self.config.use_return_dict
 

src/transformers/models/groupvit/modeling_tf_groupvit.py

@@ -1955,6 +1955,7 @@ class TFGroupViTModel(TFGroupViTPreTrainedModel):
         >>> from PIL import Image
         >>> import requests
         >>> from transformers import AutoProcessor, TFGroupViTModel
+        >>> import tensorflow as tf
 
         >>> model = TFGroupViTModel.from_pretrained("nvidia/groupvit-gcc-yfcc")
         >>> processor = AutoProcessor.from_pretrained("nvidia/groupvit-gcc-yfcc")
@@ -1968,7 +1969,7 @@ class TFGroupViTModel(TFGroupViTPreTrainedModel):
 
         >>> outputs = model(**inputs)
         >>> logits_per_image = outputs.logits_per_image  # this is the image-text similarity score
-        >>> probs = logits_per_image.softmax(dim=1)  # we can take the softmax to get the label probabilities
+        >>> probs = tf.math.softmax(logits_per_image, axis=1)  # we can take the softmax to get the label probabilities
         ```"""
 
         outputs = self.groupvit(