If you want to try simply you can: Subclass your pipeline of choice thon class MyPipeline(TextClassificationPipeline): def postprocess(): # Your code goes here scores = scores * 100 # And here my_pipeline = MyPipeline(model=model, tokenizer=tokenizer, ) or if you use pipeline function, then: my_pipeline = pipeline(model="xxxx", pipeline_class=MyPipeline) That should enable you to do all the custom code you want.