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README.md
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---
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license: mit
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language:
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base_model: Qwen/Qwen3-VL-8B-Instruct
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library_name: transformers
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pipeline_tag: image-text-to-text
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tags:
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datasets:
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# MemeLens-VLM
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**MemeLens** is a unified multilingual, multitask Vision-Language Model (VLM) for meme understanding. It is fine-tuned from [Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) using a **classify-then-explain** training strategy on the [MemeLens dataset](https://huggingface.co/datasets/QCRI/MemeLens
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**Paper:** [MemeLens: Multilingual Multitask VLMs for Memes](https://arxiv.org/abs/2601.12539)
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2601.12539},
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```
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---
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license: mit
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language:
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- en
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- ar
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- bn
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- de
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- es
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- hi
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- ro
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- ru
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- zh
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base_model: Qwen/Qwen3-VL-8B-Instruct
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library_name: transformers
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pipeline_tag: image-text-to-text
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tags:
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- memes
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- multimodal
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- multilingual
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- hate-speech
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- vision-language-model
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- qwen3-vl
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datasets:
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- QCRI/MemeLens
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# MemeLens-VLM
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**MemeLens** is a unified multilingual, multitask Vision-Language Model (VLM) for meme understanding. It is fine-tuned from [Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) using a **classify-then-explain** training strategy on the [MemeLens dataset](https://huggingface.co/datasets/QCRI/MemeLens), which consolidates 38 public meme datasets across 20 tasks and 9 languages.
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**Paper:** [MemeLens: Multilingual Multitask VLMs for Memes](https://arxiv.org/abs/2601.12539)
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2601.12539},
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}
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```
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