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
| Zen | |
| Copyright 2025-2026 Zen Authors | |
| This model and its accompanying code are licensed under the Apache License, Version 2.0. | |
| Zen models are developed by the Zen Authors (https://zenlm.org). | |
| This model is derived from an upstream base model (Qwen3-Embedding-4B), | |
| distributed under a compatible permissive license. Upstream | |
| attribution is retained as required by that license. | |