---
tags:
- generated_from_keras_callback
model-index:
- name: adult-content-classifier-text
  results: []
pipeline_tag: text-classification
widget:
- text: "情趣睡衣 性感睡衣 角色扮演 惹火 緊身連身 漆皮膠衣 黑 L"
  example_title: "adult_成人商品標題"
- text: "男平織運動外套-立領外套 慢跑 路跑 藍黑螢光黃 L"
  example_title: "regular_一般商品標題"
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# adult-content-identify-text

Determine whether online sales products are adult content. Input: product title or description, Output results: 0 Unknown, 1 Adult Content, 2 General Merchandise.

判斷網路銷售商品是否屬於成人內容。輸入: 商品名稱文字，輸出結果: 0 未知, 1 成人內容, 2 一般商品。

# use transformers pipeline
```python
from transformers import pipeline
pipe = pipeline("text-classification", model="jiechau/adult-content-classifier")
#q = '男平織運動外套-立領外套 慢跑 路跑 藍黑螢光黃 L'
q = '情趣睡衣 性感睡衣 角色扮演 惹火 緊身連身 漆皮膠衣 黑 L'
result = pipe(q)
print(result)
# [{'label': 'adult_成人商品', 'score': 0.9994813799858093}]
```

### Framework versions

- Transformers 4.37.1
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.1