# Pre-trained language model

A pre-trained language model merged using the mergekit tool, combining features from multiple Llama-3 variant models

Glot500 is a multilingual pre-trained model that supports over 500 languages and is trained based on the masked language modeling (MLM) objective.

A pre-trained language model fine-tuned for Thai named entity recognition tasks, based on the LST20 dataset

GPT2 model specialized for generating Classical Chinese texts, pre-trained on 3 million Classical Chinese sentences

HeBERT is a pre-trained language model for Hebrew, based on the BERT architecture, focusing on polarity analysis and sentiment recognition tasks.

ParsGPT2 is a Persian version of the GPT-2 model, developed by the Hooshvare team for Persian text generation tasks.

Chinese pre-trained model based on BigBird architecture, supporting 4096-length context processing