# Multitask NLP

Pretrained model provided by Hugging Face Transformers library, supporting multiple natural language processing tasks

Llama-3-8B-Dolphin-Portuguese-v0.3 is an 8B-parameter large language model based on the Llama-3 architecture, specifically optimized for Portuguese.

BERT pretrained model based on Persian blog training, excelling in multiple Persian NLP tasks

The Transformers library provides thousands of pretrained models for multimodal tasks such as natural language processing (NLP), computer vision (CV), audio, and speech processing.

Stanza is a precise and efficient natural language processing toolkit that supports syntactic analysis for multiple languages including Chinese.

Stanza is a precise and efficient toolkit for syntactic analysis of multiple human languages. From raw text to syntactic parsing and entity recognition, Stanza provides state-of-the-art natural language processing models for your chosen language.

The first pre-trained language model specifically for Indonesian Twitter, built by extending Indonesian BERT with domain-specific vocabulary

Spanish language model based on GPT-2 small architecture, fine-tuned on Spanish Wikipedia through transfer learning

AraBERT is an Arabic pre-trained language model based on the BERT architecture, optimized for Arabic language understanding tasks, with multiple variant versions.