ModelBART-MNLI
BART-large-MNLI
A natural language inference model released by Meta (Facebook), built on the BART architecture and trained on the MNLI dataset. It is widely used for zero-shot text classification tasks by reformulating classification problems as premise-hypothesis pairs and performing entailment-based inference.
Timeline (last 90 days)
Oct 5
One common implementation of zero-shot classification uses NLI (Natural Language Inference) models, converting classification into premise-hypothesis pair judgments, with representative models such as Facebook's BART-large-MNLI.
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