class_docstr: Constructs a CLIP processor which wraps a CLIP feature extractor and a CLIP tokenizer into a single processor.
  
  [`CLIPProcessor`] offers all the functionalities of [`CLIPFeatureExtractor`] and [`CLIPTokenizerFast`]. See the
  [`~CLIPProcessor.__call__`] and [`~CLIPProcessor.decode`] for more information.
  
  Args:
      feature_extractor ([`CLIPFeatureExtractor`]):
          The feature extractor is a required input.
      tokenizer ([`CLIPTokenizerFast`]):
          The tokenizer is a required input.
code: def __init__(self, feature_extractor, tokenizer):
      super().__init__(feature_extractor, tokenizer)
      self.current_processor = self.feature_extractor
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/clip/processing_clip.py
imports: from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
label_desc: Use image node_id 1 to create a new CLIPProcessor object from inherited base classes: ProcessorMixin with example: obj = CLIPProcessor(feature_extractor, tokenizer)