# English NLI

A DeBERTa-v3 based zero-shot classification model supporting 33 datasets and 387 categories for general text classification tasks

This model is a lightweight natural language inference model based on DistilRoBERTa, supporting zero-shot classification tasks.

A cross-encoder model trained on microsoft/deberta-v3-xsmall for natural language inference tasks, supporting contradiction, entailment, and neutral relationship judgments.

This model is a fine-tuned version of the uncased MobileBERT model on the Multi-Genre Natural Language Inference (MNLI) task, suitable for zero-shot classification tasks.