The node performs Zero-Shot Text Classification based on NLI task. No prior training is needed, user can just provide a set of labels that are expected to be used for text classification.
The node can use a model trained on an NLI task. It works by posing each candidate label as a 'hypothesis' and the sequence which one wants to classify as the 'premise'.
- Type: se.redfield.bert.nodes.port.BertModelPortObjectBERT ModelBERT Model
- Type: TableData TableData Table