Instructions to use BAAI/BGE-VL-Screenshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/BGE-VL-Screenshot with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/BGE-VL-Screenshot", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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<a href="https://huggingface.co/marsh123/UniSE">
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<img alt="Build" src="https://img.shields.io/badge/π€ Model-UniSE MLLM-yellow">
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</a>
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</p>
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<h4 align="center">
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## News
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```2025-04-06``` ππ MVRB Dataset are released on Huggingface: [MVRB](https://huggingface.co/datasets/marsh123/MVRB)
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```2025-04-02``` ππ VIRA Dataset are released on Huggingface: [VIRA](https://huggingface.co/datasets/marsh123/VIRA/)
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<a href="https://huggingface.co/marsh123/UniSE">
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<img alt="Build" src="https://img.shields.io/badge/π€ Model-UniSE MLLM-yellow">
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</a>
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<a href="https://huggingface.co/BAAI/BGE-VL-Screenshot">
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<img alt="Build" src="https://img.shields.io/badge/π€ Model-BGE VL Screenshot-yellow">
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</a>
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</p>
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<h4 align="center">
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## News
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```2025-06-23``` ππ We release [BGE-VL-Screenshot](https://huggingface.co/datasets/marsh123/MVRB), an enhanced version of UniSE_MLLM with improved multilingual capabilities.
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```2025-04-06``` ππ MVRB Dataset are released on Huggingface: [MVRB](https://huggingface.co/datasets/marsh123/MVRB)
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```2025-04-02``` ππ VIRA Dataset are released on Huggingface: [VIRA](https://huggingface.co/datasets/marsh123/VIRA/)
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