Overview
Built on Zen MoDE (Mixture of Distilled Experts) architecture with various parameters and 8K context window.
Developed by Hanzo AI and the Zoo Labs Foundation.
Quick Start
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)
print(embeddings.shape)
similarities = model.similarity(embeddings, embeddings)
print(similarities)
API Access
from openai import OpenAI
client = OpenAI(base_url="https://api.hanzo.ai/v1", api_key="your-api-key")
response = client.embeddings.create(model="zen-embedding", input="Your text here")
print(response.data[0].embedding)
Model Details
Table with columns: Attribute, Value| Attribute | Value |
|---|
| Parameters | various |
| Architecture | Zen MoDE |
| Context | 8K tokens |
| License | Apache 2.0 |
License
Apache 2.0