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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: adult-content-classifier-text |
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results: [] |
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pipeline_tag: text-classification |
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widget: |
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- 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" |
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example_title: "adult_成人商品標題" |
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- text: "男平織運動外套-立領外套 慢跑 路跑 藍黑螢光黃 L" |
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example_title: "regular_一般商品標題" |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# adult-content-identify-text |
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Determine whether online sales products are adult content. Input: product title or description, Output results: 0 Unknown, 1 Adult Content, 2 General Merchandise. |
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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。 |
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# use transformers pipeline |
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```python |
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from transformers import pipeline |
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pipe = pipeline("text-classification", model="jiechau/adult-content-classifier") |
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#q = '男平織運動外套-立領外套 慢跑 路跑 藍黑螢光黃 L' |
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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' |
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result = pipe(q) |
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print(result) |
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# [{'label': 'adult_成人商品', 'score': 0.9994813799858093}] |
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``` |
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### Framework versions |
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- Transformers 4.37.1 |
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- TensorFlow 2.15.0 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
