curl https://api.hanzo.ai/v1/embeddings \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zen3-embedding-small",
    "input": "Zen LM is a family of frontier AI models"
  }'

from hanzoai import Hanzo

client = Hanzo(api_key="hk-your-api-key")

response = client.embeddings.create(
    model="zen3-embedding-small",
    input=["Hello world", "Zen LM models"],
)

for embedding in response.data:
    print(f"Vector dim: {len(embedding.embedding)}")

from transformers import AutoModel, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("zenlm/zen3-embedding-small")
model = AutoModel.from_pretrained("zenlm/zen3-embedding-small")

inputs = tokenizer("Zen LM is a family of frontier AI models",
                   return_tensors="pt", truncation=True)
outputs = model(**inputs)
embeddings = outputs.last_hidden_state[:, 0, :]  # CLS token