Sentence Similarity
sentence-transformers
Safetensors
qwen3
mteb
retriever
custom_code
text-embeddings-inference
Instructions to use Kingsoft-LLM/QZhou-Embedding-Zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Kingsoft-LLM/QZhou-Embedding-Zh with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kingsoft-LLM/QZhou-Embedding-Zh", 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
多语言
#4
by weiminw - opened
您好, 请问这个模型是只支持中文吗?这个模型其他语言支持是否也和中文的效果一样好?
是的,这个模型是中文增强版的,只在中文场景下适用。
YuPeng0214 changed discussion status to closed