Python API

from unbias_plus import UnBiasPlus, BiasResult, BiasedSegment

pipe = UnBiasPlus()  # default: vector-institute/Qwen3-8B-UnBias-Plus-SFT-Instruct-Legacy
result = pipe.analyze("Women are too emotional to lead.")

# Result fields
print(result.binary_label)    # "biased" | "unbiased"
print(result.severity)         # 1-5 (article-level)
print(result.bias_found)       # bool
print(result.unbiased_text)   # full neutral rewrite

for seg in result.biased_segments:
    print(seg.original, seg.replacement, seg.severity, seg.bias_type, seg.reasoning)
    # seg.start, seg.end are character offsets in the original text

# Formatted outputs
cli_str  = pipe.analyze_to_cli("...")    # human-readable terminal output
data     = pipe.analyze_to_dict("...")   # plain dict
json_str = pipe.analyze_to_json("...")   # pretty-printed JSON string

UnBiasPlus() defaults to max_new_tokens=4096. The underlying UnBiasModel class defaults to 2048 when constructed directly.

For the full BiasResult schema, see How it works or the API Reference.