Feature Extraction
sentence-transformers
Safetensors
English
Chinese
qwen3
zen
zen-embedding
zenlm
hanzo
embedding
retrieval
text-embeddings-inference
Instructions to use zenlm/zen-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use zenlm/zen-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zenlm/zen-embedding") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Restore upstream attribution in NOTICE (Qwen3-Embedding-8B)
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by zeekay - opened
NOTICE
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Copyright 2025-2026 Zen Authors
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This model
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zen-embedding
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Copyright 2025-2026 Zen Authors
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This model is a derivative work distributed under the Apache-2.0 license.
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A copy of the license is in the accompanying LICENSE file.
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Built on:
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- Qwen3-Embedding-8B (https://huggingface.co/Qwen/Qwen3-Embedding-8B), Apache-2.0.
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