Feature Extraction
Transformers
Safetensors
qwen3
text-generation
embedding
retrieval
zen
zen3
hanzo
zenlm
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen3-embedding")
model = AutoModelForCausalLM.from_pretrained("zenlm/zen3-embedding")Quick Links
Zen3 Embedding
Zen LM by Hanzo AI — High-dimensional text embeddings via API. Supports retrieval, similarity, and clustering.
Specs
| Property | Value |
|---|---|
| Parameters | API-served |
| Context | 8K |
| Architecture | Zen MoDE (Mixture of Distilled Experts) |
| Generation | Zen3 |
API Access
curl https://api.hanzo.ai/v1/chat/completions \
-H "Authorization: Bearer $HANZO_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "zen3-embedding", "messages": [{"role": "user", "content": "Hello"}]}'
Get your API key at console.hanzo.ai — $5 free credit on signup.
License
Apache 2.0
Zen LM is developed by Hanzo AI — Frontier AI infrastructure.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zenlm/zen3-embedding")