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README.md
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# VLM2Vec-V2
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[**Website**](https://tiger-ai-lab.github.io/VLM2Vec/) |[**Github**](https://github.com/TIGER-AI-Lab/VLM2Vec) | [**🏆Leaderboard**](https://huggingface.co/spaces/TIGER-Lab/MMEB) | [**📖MMEB-V2/VLM2Vec-V2 Paper**](https://arxiv.org/abs/2507.04590) | | [**📖MMEB-V1/VLM2Vec-V1 Paper**](https://arxiv.org/abs/2410.05160) |
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tgt_output = model(tgt=inputs)["tgt_reps"]
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print(string, '=', model.compute_similarity(qry_output, tgt_output))
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## tensor([[0.3223]], device='cuda:0', dtype=torch.bfloat16)
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```
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---
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license: apache-2.0
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datasets:
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- TIGER-Lab/MMEB-train
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- TIGER-Lab/MMEB-V2
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- TIGER-Lab/MMEB-eval
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language:
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- en
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library_name: transformers
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---
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# VLM2Vec-V2
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[**Website**](https://tiger-ai-lab.github.io/VLM2Vec/) |[**Github**](https://github.com/TIGER-AI-Lab/VLM2Vec) | [**🏆Leaderboard**](https://huggingface.co/spaces/TIGER-Lab/MMEB) | [**📖MMEB-V2/VLM2Vec-V2 Paper**](https://arxiv.org/abs/2507.04590) | | [**📖MMEB-V1/VLM2Vec-V1 Paper**](https://arxiv.org/abs/2410.05160) |
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tgt_output = model(tgt=inputs)["tgt_reps"]
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print(string, '=', model.compute_similarity(qry_output, tgt_output))
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## tensor([[0.3223]], device='cuda:0', dtype=torch.bfloat16)
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```
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