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NOVA-vision-language
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polite_bert

Text Classification
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PyTorch
Safetensors
English
bert
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Update README.md

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@@ -8,11 +8,11 @@ library_name: transformers
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  widget:
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  - text: "I am good. Just got back from vacation"
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  example_title: "Example 1"
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- - text: "I am doing good, fortunately! I just got back from vacation, and loved it."
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  example_title: "Example 2"
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- - text: "I am doing good, I appreciate you asking. I just got back from vacation, and loved it."
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  example_title: "Example 3"
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- - text: "I am doing good, but why do you care? I just got back from vacation."
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  example_title: "Example 4"
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  ---
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@@ -22,4 +22,4 @@ Simple Model trained to classify 4 levels of politeness:
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  - Somewhat Polite
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  - Polite
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- My by Diogo M. Silva. PhD Student at NOVA FCT and Affiliated PhD Student at CMU
 
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  widget:
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  - text: "I am good. Just got back from vacation"
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  example_title: "Example 1"
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+ - text: "I am doing good, appreciate you asking. I just got back from vacation."
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  example_title: "Example 2"
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+ - text: "I am doing good, thank you for asking. I just got back from vacation, and loved it."
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  example_title: "Example 3"
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+ - text: "I am doing good, but why do fucking you care? I just got back from vacation."
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  example_title: "Example 4"
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  ---
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  - Somewhat Polite
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  - Polite
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+ Made by Diogo M. Silva. PhD Student at NOVA FCT and Affiliated PhD Student at CMU