# Multi-label inference

A zero-shot classification model fine-tuned from MoritzLaurer/deberta-v3-base-zeroshot-v2.0-c using the SmartShot method with an NLI framework

This is the ONNX format conversion of the MoritzLaurer/roberta-base-zeroshot-v2.0-c model, suitable for zero-shot classification tasks.

A lightweight version of DistilBERT specifically designed for Multi-Genre Natural Language Inference (MNLI) tasks, based on the BERT architecture but with fewer parameters and higher efficiency.

Zero-shot classification model based on BART-large architecture, fine-tuned on MultiNLI dataset

This model uses the BART-large architecture, trained on the MultiNLI dataset, and can be used for zero-shot text classification tasks.

A BERT-based zero-shot classifier optimized for analyzing COVID-19-related Twitter content

Zero-shot classification model fine-tuned on XNLI Spanish dataset based on Spanish BERT base model