Model Selection

Persian Language Understanding

# Persian Language Understanding

TookaBERT is a family of encoder models trained on Persian, including base and large versions, suitable for various natural language processing tasks.

Large Language Model

Transformers Other

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

Large Language Model

Transformers Other

Albert Fa Base V2 Ner Peyma

The first ALBERT model specifically for Persian, based on Google's ALBERT base v2.0 architecture, trained on diverse Persian corpora

Large Language Model

Transformers Other

Albert Fa Base V2 Sentiment Deepsentipers Binary

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

Large Language Model

Transformers Other

Albert Fa Base V2 Sentiment Digikala

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

Large Language Model

Transformers Other

Bert Fa Zwnj Base

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

Large Language Model Other

Bert Base Parsbert Uncased

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

Large Language Model

Bert Fa Base Uncased

Transformer-based Persian language understanding model, reconstructed vocabulary and fine-tuned on new corpora, supports multiple downstream tasks

Large Language Model Other

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