Rename method

#1
by nielsr HF staff - opened
Files changed (2) hide show
  1. README.md +2 -2
  2. processing_kosmos2.py +1 -1
README.md CHANGED
@@ -49,13 +49,13 @@ generated_ids = model.generate(
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  generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  # Specify `cleanup_and_extract=False` in order to see the raw model generation.
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- processed_text = processor.post_processor_generation(generated_text, cleanup_and_extract=False)
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  print(processed_text)
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  # `<grounding> An image of<phrase> a snowman</phrase><object><patch_index_0044><patch_index_0863></object> warming himself by<phrase> a fire</phrase><object><patch_index_0005><patch_index_0911></object>.`
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  # By default, the generated text is cleanup and the entities are extracted.
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- processed_text, entities = processor.post_processor_generation(generated_text)
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  print(processed_text)
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  # `An image of a snowman warming himself by a fire.`
 
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  generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  # Specify `cleanup_and_extract=False` in order to see the raw model generation.
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+ processed_text = processor.post_process_generation(generated_text, cleanup_and_extract=False)
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  print(processed_text)
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  # `<grounding> An image of<phrase> a snowman</phrase><object><patch_index_0044><patch_index_0863></object> warming himself by<phrase> a fire</phrase><object><patch_index_0005><patch_index_0911></object>.`
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  # By default, the generated text is cleanup and the entities are extracted.
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+ processed_text, entities = processor.post_process_generation(generated_text)
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  print(processed_text)
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  # `An image of a snowman warming himself by a fire.`
processing_kosmos2.py CHANGED
@@ -336,7 +336,7 @@ class Kosmos2Processor(ProcessorMixin):
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  """
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  return self.tokenizer.decode(*args, **kwargs)
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- def post_processor_generation(self, text, cleanup_and_extract=True):
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  caption = text.split("</image>")[-1]
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  if cleanup_and_extract:
 
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  """
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  return self.tokenizer.decode(*args, **kwargs)
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+ def post_process_generation(self, text, cleanup_and_extract=True):
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  caption = text.split("</image>")[-1]
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  if cleanup_and_extract: