## Frequently Asked Questions classifier
This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. 
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"`.

## Usage
```python
from transformers import pipeline

classifier = pipeline("text-classification", "timpal0l/xlm-roberta-base-faq-extractor")
label_map = {"LABEL_0" : False, "LABEL_1" : True}

documents = ["What is the warranty for iPhone15?", 
             "How old are you?", 
             "Nice to meet you", 
             "What is your opening hours?", 
             "What is your name?", 
             "The weather is nice"]

predictions = classifier(documents)

for p, d in zip(predictions, documents):
    print(d, "--->", label_map[p["label"]])
```

```html
What is the warranty for iPhone15? ---> True
How old are you? ---> False
Nice to meet you ---> False
What is your opening hours? ---> True
What is your name? ---> False
The weather is nice ---> False
```
{"language": ["multilingual", "af", "am", "ar", "as", "az", "be", "bg", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "he", "hi", "hr", "hu", "hy", "id", "is", "it", "ja", "jv", "ka", "kk", "km", "kn", "ko", "ku", "ky", "la", "lo", "lt", "lv", "mg", "mk", "ml", "mn", "mr", "ms", "my", "ne", "nl", "no", "om", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sa", "sd", "si", "sk", "sl", "so", "sq", "sr", "su", "sv", "sw", "ta", "te", "th", "tl", "tr", "ug", "uk", "ur", "uz", "vi", "xh", "yi", "zh"], "license": "mit", "tags": ["text-classification", "sequence-classification", "xlm-roberta-base", "faq", "questions"], "datasets": ["clips/mfaq", "daily_dialog", "commonsense_qa", "conv_ai_2"], "thumbnail": "https://huggingface.co/front/thumbnails/microsoft.png", "pipeline_tag": "text-classification"}
transformers pytorch safetensors xlm-roberta text-classification sequence-classification xlm-roberta-base faq questions multilingual af am ar as az be bg bn br bs ca cs cy da de el en eo es et eu fa fi fr fy ga gd gl gu ha he hi hr hu hy id is it ja jv ka kk km kn ko ku ky la lo lt lv mg mk ml mn mr ms my ne nl no om or pa pl ps pt ro ru sa sd si sk sl so sq sr su sv sw ta te th tl tr ug uk ur uz vi xh yi zh dataset:clips/mfaq dataset:daily_dialog dataset:commonsense_qa dataset:conv_ai_2 license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #xlm-roberta #text-classification #sequence-classification #xlm-roberta-base #faq #questions #multilingual #af #am #ar #as #az #be #bg #bn #br #bs #ca #cs #cy #da #de #el #en #eo #es #et #eu #fa #fi #fr #fy #ga #gd #gl #gu #ha #he #hi #hr #hu #hy #id #is #it #ja #jv #ka #kk #km #kn #ko #ku #ky #la #lo #lt #lv #mg #mk #ml #mn #mr #ms #my #ne #nl #no #om #or #pa #pl #ps #pt #ro #ru #sa #sd #si #sk #sl #so #sq #sr #su #sv #sw #ta #te #th #tl #tr #ug #uk #ur #uz #vi #xh #yi #zh #dataset-clips/mfaq #dataset-daily_dialog #dataset-commonsense_qa #dataset-conv_ai_2 #license-mit #autotrain_compatible #endpoints_compatible #region-us 

## Frequently Asked Questions classifier
This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. 
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"'.

## Usage



## Frequently Asked Questions classifier
This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. 
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"'. ## Usage
TAGS
#transformers #pytorch #safetensors #xlm-roberta #text-classification #sequence-classification #xlm-roberta-base #faq #questions #multilingual #af #am #ar #as #az #be #bg #bn #br #bs #ca #cs #cy #da #de #el #en #eo #es #et #eu #fa #fi #fr #fy #ga #gd #gl #gu #ha #he #hi #hr #hu #hy #id #is #it #ja #jv #ka #kk #km #kn #ko #ku #ky #la #lo #lt #lv #mg #mk #ml #mn #mr #ms #my #ne #nl #no #om #or #pa #pl #ps #pt #ro #ru #sa #sd #si #sk #sl #so #sq #sr #su #sv #sw #ta #te #th #tl #tr #ug #uk #ur #uz #vi #xh #yi #zh #dataset-clips/mfaq #dataset-daily_dialog #dataset-commonsense_qa #dataset-conv_ai_2 #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ## Frequently Asked Questions classifier
This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. 
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"'. ## Usage
passage: TAGS
#transformers #pytorch #safetensors #xlm-roberta #text-classification #sequence-classification #xlm-roberta-base #faq #questions #multilingual #af #am #ar #as #az #be #bg #bn #br #bs #ca #cs #cy #da #de #el #en #eo #es #et #eu #fa #fi #fr #fy #ga #gd #gl #gu #ha #he #hi #hr #hu #hy #id #is #it #ja #jv #ka #kk #km #kn #ko #ku #ky #la #lo #lt #lv #mg #mk #ml #mn #mr #ms #my #ne #nl #no #om #or #pa #pl #ps #pt #ro #ru #sa #sd #si #sk #sl #so #sq #sr #su #sv #sw #ta #te #th #tl #tr #ug #uk #ur #uz #vi #xh #yi #zh #dataset-clips/mfaq #dataset-daily_dialog #dataset-commonsense_qa #dataset-conv_ai_2 #license-mit #autotrain_compatible #endpoints_compatible #region-us 
## Frequently Asked Questions classifier
This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. 
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"'.## Usage