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
| zen-embedding | |
| Copyright 2025-2026 Zen Authors | |
| This model is a derivative work distributed under the Apache-2.0 license. | |
| A copy of the license is in the accompanying LICENSE file. | |
| Built on: | |
| - Qwen3-Embedding-8B (https://huggingface.co/Qwen/Qwen3-Embedding-8B), Apache-2.0. | |