curl https://api.hanzo.ai/v1/moderations \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zen-guard",
    "input": "Text content to evaluate for safety"
  }'

from hanzoai import Hanzo

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

response = client.moderations.create(
    model="zen-guard",
    input="Text content to evaluate for safety",
)

result = response.results[0]
print(f"Flagged: {result.flagged}")
for category, score in result.category_scores.items():
    if score > 0.1:
        print(f"  {category}: {score:.3f}")

from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch

tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-guard")
model = AutoModelForSequenceClassification.from_pretrained("zenlm/zen-guard")

text = "Text content to evaluate for safety"
inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)

with torch.no_grad():
    outputs = model(**inputs)
    scores = torch.sigmoid(outputs.logits)

labels = model.config.id2label
for i, score in enumerate(scores[0]):
    print(f"{labels[i]}: {score.item():.3f}")