text: 
  
  TITLE
  fixing VisibleDeprecationWarning
  
  COMMENTS
  2
  
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  BODY
  ### System Info
  
  ```shell
  - `transformers` version: 4.18.0
  - Platform: Linux-5.17.1-arch1-1-x86_64-with-glibc2.35
  - Python version: 3.9.7
  - Huggingface_hub version: 0.5.1
  - PyTorch version (GPU?): 1.10.2+cu102 (True)
  - Tensorflow version (GPU?): 2.8.0 (True)
  - Flax version (CPU?/GPU?/TPU?): not installed (NA)
  - Jax version: not installed
  - JaxLib version: not installed
  - Using GPU in script?: <fill in>
  - Using distributed or parallel set-up in script?: <fill in>
  ```
  
  
  ### Who can help?
  
  Hi @LysandreJik ,
      
  Could you please fix `VisibleDeprecationWarning` warning? 
  
  Based on [this stackoverflow thread](https://stackoverflow.com/q/63097829), specifying `dtype=object` fixes the issue.
  
  ### Information
  
  - [ ] The official example scripts
  - [x] My own modified scripts
  
  ### Tasks
  
  - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
  - [X] My own task or dataset (give details below)
  
  ### Reproduction
  
  ### Code
  
  ```
  from transformers import pipeline
  
  question_answerer = pipeline(task="question-answering", model="distilbert-base-cased-distilled-squad")
  
  context = """
  Captain America, and Wonder Woman.
  Between 1939 and 1941 Detective Comics and its sister company, All-American Publications, 
  introduced popular superheroes such as Batman and Robin, Wonder Woman, the Flash, 
  Green Lantern, Doctor Fate, the Atom, Hawkman, Green Arrow and Aquaman.[7] Timely Comics, 
  the 1940s predecessor of Marvel Comics, had million-selling titles featuring the Human Torch,
  the Sub-Mariner, and Captain America.[8]
  As comic books grew in popularity, publishers began launching titles that expanded 
  into a variety of genres. Dell Comics' non-superhero characters (particularly the 
  licensed Walt Disney animated-character comics) outsold the superhero comics of the day.[12] 
  The publisher featured licensed movie and literary characters such as Mickey Mouse, Donald Duck,
  Roy Rogers and Tarzan.[13] It was during this era that noted Donald Duck writer-artist
  Carl Barks rose to prominence.[14] Additionally, MLJ's introduction of Archie Andrews
  in Pep Comics #22 (December 1941) gave rise to teen humor comics,[15] with the Archie 
  Andrews character remaining in print well into the 21st century.[16]
  At the same time in Canada, American comic books were prohibited importation under 
  the War Exchange Conservation Act[17] which restricted the importation of non-essential 
  goods. As a result, a domestic publishing industry flourished during the duration 
  of the war which were collectively informally called the Canadian Whites.
  The educational comic book Dagwood Splits the Atom used characters from the comic 
  strip Blondie.[18] According to historian Michael A. Amundson, appealing comic-book 
  characters helped ease young readers' fear of nuclear war and neutralize anxiety 
  about the questions posed by atomic power.[19] It was during this period that long-running 
  humor comics debuted, including EC's Mad and Carl Barks' Uncle Scrooge in Dell's Four 
  Color Comics (both in 1952).[20][21]
  """
  
  question = "What popular superheroes were introduced between 1939 and 1941?"
  result = question_answerer(question=question, context=context)
  
  print(result['answer'])
  ```
  
  
  ### Output
  
  ```
  /home/myuser/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
    return array(a, dtype, copy=False, order=order)
  EC's Mad and Carl Barks' Uncle Scrooge
  ```
  
  ### Expected behavior
  
  ```shell
  Warning should not be generated. Accoring to [this post](https://forums.fast.ai/t/visibledeprecationwarning-creating-an-ndarray-from-ragged-nested-sequences-is-deprecated/81774/3), this warning is likely to turn into an error in future releases.
  ```
  