Feature Extraction
sentence-transformers
Safetensors
English
Chinese
qwen3
zen
zen-embedding
zenlm
hanzo
embedding
retrieval
text-embeddings-inference
Instructions to use zenlm/zen-embedding-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use zenlm/zen-embedding-4B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zenlm/zen-embedding-4B") 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
Commit History
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docs: honest base_model attribution, drop marketing
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Add LICENSE and NOTICE files for license compliance
hanzo-dev188871f
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Add NOTICE: Copyright Zen Authors
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Brand: remove upstream model references
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weights: server-side copy from Qwen/Qwen3-Embedding-4B
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readme: initial Zen embedding bare-name mirror
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initial commit
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