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--- |
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language: |
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- multilingual |
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- af |
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- am |
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- ar |
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- as |
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- az |
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- be |
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- bg |
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- bn |
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- br |
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- bs |
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- ca |
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- cs |
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- cy |
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- da |
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- de |
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- el |
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- en |
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- eo |
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- es |
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- et |
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- eu |
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- fa |
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- fi |
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- fr |
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- fy |
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- ga |
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- gd |
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- gl |
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- gu |
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- ha |
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- he |
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- hi |
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- hr |
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- hu |
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- hy |
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- id |
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- is |
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- it |
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- ja |
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- jv |
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- ka |
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- kk |
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- km |
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- kn |
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- ko |
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- ku |
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- ky |
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- la |
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- lo |
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- lt |
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- lv |
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- mg |
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- mk |
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- ml |
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- mn |
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- mr |
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- ms |
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- my |
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- ne |
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- nl |
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- 'no' |
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- om |
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- or |
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- pa |
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- pl |
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- ps |
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- pt |
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- ro |
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- ru |
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- sa |
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- sd |
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- si |
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- sk |
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- sl |
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- so |
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- sq |
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- sr |
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- su |
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- sv |
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- sw |
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- ta |
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- te |
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- th |
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- tl |
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- tr |
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- ug |
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- uk |
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- ur |
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- uz |
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- vi |
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- xh |
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- yi |
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- zh |
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license: mit |
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tags: |
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- text-classification |
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- sequence-classification |
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- xlm-roberta-base |
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- faq |
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- questions |
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datasets: |
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- clips/mfaq |
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- daily_dialog |
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- tau/commonsense_qa |
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- conv_ai_2 |
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png |
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pipeline_tag: text-classification |
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--- |
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## Frequently Asked Questions classifier |
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This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. |
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For e.g `"What is the warranty of your product?"` In contrast, daily questions such as `"how are you?"`, `"what is your name?"`, or simple statements such as `"this is a tree"`. |
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## Usage |
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```python |
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from transformers import pipeline |
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classifier = pipeline("text-classification", "timpal0l/xlm-roberta-base-faq-extractor") |
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label_map = {"LABEL_0" : False, "LABEL_1" : True} |
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documents = ["What is the warranty for iPhone15?", |
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"How old are you?", |
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"Nice to meet you", |
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"What is your opening hours?", |
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"What is your name?", |
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"The weather is nice"] |
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predictions = classifier(documents) |
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for p, d in zip(predictions, documents): |
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print(d, "--->", label_map[p["label"]]) |
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``` |
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```html |
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What is the warranty for iPhone15? ---> True |
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How old are you? ---> False |
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Nice to meet you ---> False |
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What is your opening hours? ---> True |
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What is your name? ---> False |
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The weather is nice ---> False |
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``` |
