---
license: openrail++
base_model: textdetox/bert-multilingual-toxicity-classifier
pipeline_tag: text-classification
tags:
  - toxic
  - onnx
  - int8
language: [en, de, fr, es, it, ru, uk, ar, hi, ja, zh, he, am, tt]
---

# Ordicio toxicity classifier (ONNX, int8)

An int8 ONNX export of
[textdetox/bert-multilingual-toxicity-classifier](https://huggingface.co/textdetox/bert-multilingual-toxicity-classifier)
for on-device inference in the Ordicio apps (ONNX Runtime on Android / iOS, onnxruntime-web in browsers).

- `manifest.json`: the current version, file hashes, tokenizer settings, labels and threshold.
- `v1/model.onnx`: weights quantized to int8 (dynamic quantization), inputs `input_ids`,
  `attention_mask`, `token_type_ids` as int32 (cast to int64 inside the graph), output `logits`
  (index 0 neutral, 1 toxic).
- `v1/vocab.txt`: the WordPiece vocabulary of the base model (cased, no lowercasing).

The int8 model agrees with the fp32 model on 98.5 % of decisions (3600 samples of
textdetox/multilingual_toxicity_dataset in 12 languages). For accuracy per language, see the base
model's card: German results are weak (F1 0.52).

The use restrictions of the openrail++ license of the base model apply to this export.