This is a pre-trained model based on the 🤗 Transformers framework and has been published on the Hugging Face model hub. The model card is automatically generated, and detailed information on specific functions and application scenarios needs to be further supplemented.

Natural Language ProcessingTransformers

This is an Arabic restaurant review sentiment analysis model fine-tuned based on AraBERT, capable of classifying reviews as positive or negative.

Natural Language ProcessingTransformersArabic

This is an Arabic text embedding model based on sentence-transformers, specifically optimized for retrieval tasks. The model has been comprehensively tested on multiple Arabic MTEB datasets, trained using MatryoshkaLoss and MultipleNegativesRankingLoss, and supports efficient similarity calculation and feature extraction.

Natural Language ProcessingSentence-transformersArabic

Arabic sentiment analysis model fine-tuned on AraBERT, achieving 80.03% accuracy on the evaluation set

Natural Language ProcessingTransformersArabic

Arabela language text-to-speech model developed by Meta, based on VITS architecture, supporting high-quality speech synthesis

Audio ProcessingTransformers

Modern Standard Arabic text summarization model based on AraBERT architecture, trained via AutoTrain

Natural Language ProcessingTransformersArabic

An Arabic text summarization model based on AraBERT, specializing in news headline generation and text summarization tasks for Modern Standard Arabic.

Natural Language ProcessingTransformersArabic

Arabic text summarization model based on AraBERT, supporting Modern Standard Arabic news headline generation and text rewriting

Natural Language ProcessingTransformersArabic

AraBERTMo is an Arabic pre-trained language model based on Google's BERT architecture, supporting fill-mask tasks.

Natural Language ProcessingTransformers

This is a model for Arabic named entity recognition, capable of identifying entities such as person names, place names, and organization names in text.

Natural Language ProcessingTransformersMultiple Languages

AraBERTv0.2-Twitter is a pre-trained language model optimized for Arabic dialects and tweets, developed based on the BERT architecture, with added support for emojis and common vocabulary.

Natural Language ProcessingTransformersArabic

An AraBERT model pre-trained on 1.5 million multidialectal Arabic COVID-19 tweets, optimized for processing Arabic tweets related to the COVID-19 pandemic.

Natural Language ProcessingJaxArabic

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

Natural Language ProcessingJaxArabic

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

Natural Language ProcessingJaxArabic

AraBERT is an Arabic pre-trained language model based on Google's BERT architecture, specifically designed for Arabic natural language understanding tasks.

Natural Language ProcessingJaxArabic

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

Natural Language ProcessingJaxArabic

AraBERT model pre-trained on 1.5 million multi-dialect Arabic COVID-19 tweets, specialized for pandemic-related Arabic text tasks

Natural Language ProcessingTransformersArabic

AraBERT is a pre-trained language model based on Google's BERT architecture, specifically designed for Arabic natural language understanding tasks.

Natural Language ProcessingJaxArabic

AraBERTMo is an Arabic pretrained language model based on Google's BERT architecture, specifically optimized for Arabic text.

Natural Language ProcessingTransformers

A sentiment analysis model for Algerian dialect fine-tuned based on the AraBERT large model, achieving optimal performance on YouTube comment datasets.

Natural Language ProcessingTransformersArabic