Introduction

import classer

result = classer.classify(
    text="I can't log in to my account",
    labels=["billing", "technical", "sales"]
)

print(result.label)      # "technical"
print(result.confidence) # 0.94

# Single-label: pick one
result = classer.classify(
    text="We need pricing for 500 users",
    labels=["hot", "warm", "cold"]
)
print(result.label)  # "hot"

# Multi-label: return all that match
result = classer.tag(
    text="Breaking: Tech stocks surge amid AI boom",
    labels=["politics", "technology", "finance", "sports"],
    threshold=0.3
)
for t in result.labels:
    print(f"{t.label}: {t.confidence}")
# technology: 0.92
# finance: 0.78