tasksource/zero-shot-label-nli
tasksource classification tasks recasted as natural language inference. This dataset is intended to improve label understanding in zero-shot classification HF pipelines. Inputs that are text pairs are separated by a newline (\n). from transformers import pipeline classifier = pipeline(model="sileod/deberta-v3-base-tasksource-nli") classifier( "I have a problem with my iphone that needs to be resolved asap!!", candidate_labels=["urgent", "not urgent", "phone", "tablet", "computer"], )… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/zero-shot-label-nli.
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