# Persian NLP

A Persian Q&A and natural language processing model fine-tuned based on mistral-7b

A Persian text sentiment analysis model fine-tuned based on ParsBERT, achieving 87% accuracy on the evaluation set

Stanza is a toolkit for grammatical analysis in multiple human languages, providing functionality from raw text to syntactic analysis and named entity recognition.

A lightweight BERT model for self-supervised language representation learning in Persian

A lightweight BERT model designed for Persian self-supervised language representation learning

A Persian sentence embedding model based on ParsBERT for generating high-quality sentence vector representations

A lightweight BERT model for self-supervised learning of Persian language representations

A Persian language understanding model based on Transformer architecture, capable of handling zero-width non-joiner issues in Persian writing

Persian language understanding model based on Transformer architecture, outperforming multilingual BERT and other hybrid models

A lightweight BERT model for self-supervised language representation learning in Persian

A Transformer-based Persian language understanding model, reconstructed vocabulary and fine-tuned on new corpora, expanding multi-domain application capabilities

This model can generate Persian comments based on specified dimensions, supporting multi-dimensional evaluation generation in the food and film domains.

A Transformer-based Persian language understanding model, with a reconstructed vocabulary and fine-tuned on a new Persian corpus, suitable for various Persian NLP tasks.

A Persian poetry generation model based on the GPT-2 architecture, capable of mimicking the styles of multiple renowned Persian poets.