Change doc example for `BigBirdForQuestionAnswering` (#21723)

Change doc example for BigBirdForQuestionAnswering
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

src/transformers/models/big_bird/modeling_big_bird.py

@@ -3042,8 +3042,8 @@ class BigBirdForQuestionAnswering(BigBirdPreTrainedModel):
         >>> from transformers import AutoTokenizer, BigBirdForQuestionAnswering
         >>> from datasets import load_dataset
 
-        >>> tokenizer = AutoTokenizer.from_pretrained("abhinavkulkarni/bigbird-roberta-base-finetuned-squad")
-        >>> model = BigBirdForQuestionAnswering.from_pretrained("abhinavkulkarni/bigbird-roberta-base-finetuned-squad")
+        >>> tokenizer = AutoTokenizer.from_pretrained("google/bigbird-roberta-base")
+        >>> model = BigBirdForQuestionAnswering.from_pretrained("google/bigbird-roberta-base")
         >>> squad_ds = load_dataset("squad_v2", split="train")  # doctest: +IGNORE_RESULT
 
         >>> # select random article and question
@@ -3062,17 +3062,14 @@ class BigBirdForQuestionAnswering(BigBirdPreTrainedModel):
 
         >>> answer_start_index = outputs.start_logits.argmax()
         >>> answer_end_index = outputs.end_logits.argmax()
-        >>> predict_answer_tokens = inputs.input_ids[0, answer_start_index : answer_end_index + 1]
-        >>> tokenizer.decode(predict_answer_tokens)
-        '80 °C (176 °F) or more'
+        >>> predict_answer_token_ids = inputs.input_ids[0, answer_start_index : answer_end_index + 1]
+        >>> predict_answer_token = tokenizer.decode(predict_answer_token_ids)
         ```
 
         ```python
         >>> target_start_index, target_end_index = torch.tensor([130]), torch.tensor([132])
         >>> outputs = model(**inputs, start_positions=target_start_index, end_positions=target_end_index)
         >>> loss = outputs.loss
-        >>> round(outputs.loss.item(), 2)
-        7.63
         ```
         """
         return_dict = return_dict if return_dict is not None else self.config.use_return_dict