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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tencent/Youtu-Embedding", trust_remote_code=True, device_map="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
Download images/youtu_embedding.png from tencent/Youtu-Embedding: direct link, hf CLI and curl.
- Browser
- Download file 72.3 kB
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https://huggingface.co/tencent/Youtu-Embedding/resolve/main/images/youtu_embedding.png
- Command line
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hf download hf://tencent/Youtu-Embedding/images/youtu_embedding.png
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curl -L -o youtu_embedding.png https://huggingface.co/tencent/Youtu-Embedding/resolve/main/images/youtu_embedding.png
72.3 kB
