I am using the pipeline for zero shot text classification. I am using a fine-tuned version of facebook/bart-large-mnli model.
I want to know what is the template used to create hypothesis from label. Is it h = “this text is about {label}”? Is there a way to use my own custom template for this?
Hello 
You can check the input parameters to call zero shot text classification pipeline here. Let me know if it helps 
The parameter to convert labels to hypothesis is hypothesis_template. This accepts a string and uses the same template for every label. This isn’t optimal for my use case as the labels are very different and I want different hypothesis for them.
For example, one of the labels is purchase. The hypothesis would be “This text is about purchase”.
Another label is ok. I want to keep the hypothesis is “ok” as no template seems to fit this(“This text is about ok” doesn’t sound good at all).
For now, I am manually doing the classification, by calling the model in loop(for all intents), then using softmax on entailment/ contradiction, then sorting, and finally taking the best label