Sentence Similarity
Transformers
Safetensors
sentence-transformers
Chinese
utu
feature-extraction
text-embeddings-inference
custom_code
Instructions to use tencent/Youtu-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Youtu-Embedding with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tencent/Youtu-Embedding", trust_remote_code=True, dtype="auto") - sentence-transformers
How to use tencent/Youtu-Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tencent/Youtu-Embedding", trust_remote_code=True) sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] 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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<div align="center">
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# <img src="assets/rag_logo.png" alt="Youtu Logo" height="46px"> Youtu-Embedding
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archivePrefix={arXiv},
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url={https://arxiv.org/abs/2508.11442},
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}
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```
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---
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license: apache-2.0
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language:
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- zh
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pipeline_tag: sentence-similarity
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library_name: transformers
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tags:
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- transformers
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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- text-embeddings-inference
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---
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<div align="center">
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# <img src="assets/rag_logo.png" alt="Youtu Logo" height="46px"> Youtu-Embedding
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archivePrefix={arXiv},
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url={https://arxiv.org/abs/2508.11442},
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}
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```
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