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language: en
license: apache-2.0
tags:
- feature-extraction
- zen
- zenlm
- hanzo
- zen3
- embedding
- retrieval
- openai-compatible
pipeline_tag: feature-extraction
library_name: transformers
---
# Zen3 Embedding Openai
OpenAI-API-compatible Zen3 embedding model for drop-in replacement of cloud embeddings.
## Overview
Built on **Zen MoDE (Mixture of Distilled Experts)** architecture with medium parameters and 8K context window.
Developed by [Hanzo AI](https://hanzo.ai) and the [Zoo Labs Foundation](https://zoo.ngo).
## Quick Start
```python
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("zenlm/zen3-embedding-openai")
sentences = [
"The weather is lovely today.",
"It's so sunny outside!",
"He drove to the stadium.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# Compute cosine similarities
similarities = model.similarity(embeddings, embeddings)
print(similarities)
```
## API Access
```python
from openai import OpenAI
client = OpenAI(base_url="https://api.hanzo.ai/v1", api_key="your-api-key")
response = client.embeddings.create(model="zen3-embedding-openai", input="Your text here")
print(response.data[0].embedding)
```
## Model Details
| Attribute | Value |
|-----------|-------|
| Parameters | medium |
| Architecture | Zen MoDE |
| Context | 8K tokens |
| License | Apache 2.0 |
## License
Apache 2.0
|