Hey @joeddav
I am using the model to classify a bunch of tweets. Before reading about the pipeline, I was using the process as shared on your blog post 49. For some reason when I try the same method using the pipeline using the same model and tokenizer - facebook/bart-large-mnli, I notice that the results are faster, which helps a lot since I have to use this to classify more than 100K tweets but at the same time, the resulting confidence scores are quite different. Can you help me understand what is the difference in the two approaches which might be causing this, thanks!