| license: cc-by-nc-sa-4.0 | |
| datasets: | |
| - QCRI/LlamaLens-English | |
| - QCRI/LlamaLens-Arabic | |
| - QCRI/LlamaLens-Hindi | |
| language: | |
| - ar | |
| - en | |
| - hi | |
| base_model: | |
| - meta-llama/Llama-3.1-8B-Instruct | |
| pipeline_tag: text-generation | |
| tags: | |
| - Social-Media | |
| - Hate-Speech | |
| - Summarization | |
| - offensive-language | |
| - News-Genre | |
| # LlamaLens: Specialized Multilingual LLM forAnalyzing News and Social Media Content | |
| ## Overview | |
| LlamaLens is a specialized multilingual LLM designed for analyzing news and social media content. It focuses on 19 NLP tasks, leveraging 52 datasets across Arabic, English, and Hindi. | |
| <p align="center"> | |
| <picture> | |
| <img width="352" alt="capablities_tasks_datasets" src="./llamalens-avatar.png"> | |
| </picture> | |
| </p> | |
| ## Model Inference | |
| TBA | |
| # License | |
| This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). | |
| # Citation | |
| Please cite [our paper](https://arxiv.org/pdf/2410.15308) when using this model: | |
| ``` | |
| @article{kmainasi2024llamalensspecializedmultilingualllm, | |
| title={LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content}, | |
| author={Mohamed Bayan Kmainasi and Ali Ezzat Shahroor and Maram Hasanain and Sahinur Rahman Laskar and Naeemul Hassan and Firoj Alam}, | |
| year={2024}, | |
| journal={arXiv preprint arXiv:2410.15308}, | |
| volume={}, | |
| number={}, | |
| pages={}, | |
| url={https://arxiv.org/abs/2410.15308}, | |
| eprint={2410.15308}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |