# Natural Language Inference Transformer Models Code

## Overview
This code implements transformer-based models (BERT, GPT, RoBERTa, and XLNet) for Natural Language Inference (NLI) using various pooling strategies (Max, Min, and Mean) and norm calculations (L1, L2, L-inf).

## Prerequisites
The code requires Python 3 and the following libraries:
- Hugging Face Transformers
- PyTorch
- numpy