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.
| Author / organization | tasksource |
|---|---|
| License (as declared) | other |
| Downloads | 346 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 2 June 2023 |
| Last updated at source | 15 October 2026 |
Popularity, last 2 days
346 now (+11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- tasksource/ModernBERT-base-embedModel · used to train
- tasksource/ettin-32m-embedModel · used to train
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