class_docstr: Constructs an ALIGN processor which wraps [`EfficientNetImageProcessor`] and
  [`BertTokenizer`]/[`BertTokenizerFast`] into a single processor that interits both the image processor and
  tokenizer functionalities. See the [`~AlignProcessor.__call__`] and [`~OwlViTProcessor.decode`] for more
  information.
  
  Args:
      image_processor ([`EfficientNetImageProcessor`]):
          The image processor is a required input.
      tokenizer ([`BertTokenizer`, `BertTokenizerFast`]):
          The tokenizer is a required input.
code: def __init__(self, image_processor, tokenizer):
      super().__init__(image_processor, tokenizer)
  
file_path: transformers/src/transformers/models/align/processing_align.py
imports: from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
label_desc: Use image node_id 1 to create a new AlignProcessor object from inherited base classes: ProcessorMixin with example: obj = AlignProcessor(image_processor, tokenizer)