Sentence Similarity
sentence-transformers
Safetensors
English
qwen3
embeddings
reasoning
early-exit
efficient-reasoning
redundancy-detection
text-embeddings-inference
Instructions to use ZhishanQ/qwen3-embedding-redundancy-detector-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ZhishanQ/qwen3-embedding-redundancy-detector-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ZhishanQ/qwen3-embedding-redundancy-detector-0.6B") 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
- Xet hash:
- 6d65dc0593f1101c2323ce28409d7b83cb942b515358f0959c75e4eaa7670643
- Size of remote file:
- 1.19 GB
- SHA256:
- 5f7fc93771fbf4e17ea8d820b14a70f691c9c07bb3c213bf18efc3dc2e7bab15
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