fix: TextIteratorStreamer cannot work with pipeline (#23641)

* fix: TextIteratorStreamer cannot work with pipeline

Deepcopying the TextIteratorStreamer object causes the exception.
Signed-off-by: yuanwu <yuan.wu@intel.com>

* Update src/transformers/pipelines/text_generation.py

Got it. I will update the patch.
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/pipelines/text_generation.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update text_generation.py

---------
Signed-off-by: yuanwu <yuan.wu@intel.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

src/transformers/pipelines/text_generation.py

-import copy
 import enum
 import warnings
 
@@ -242,7 +241,6 @@ class TextGenerationPipeline(Pipeline):
 
         # If there is a prefix, we may need to adjust the generation length. Do so without permanently modifying
         # generate_kwargs, as some of the parameterization may come from the initialization of the pipeline.
-        generate_kwargs = copy.deepcopy(generate_kwargs)
         prefix_length = generate_kwargs.pop("prefix_length", 0)
         if prefix_length > 0:
             has_max_new_tokens = "max_new_tokens" in generate_kwargs or (