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byt5-base-finetuned-tweet-qa

Transformers
PyTorch
English
t5
text2text-generation
qa
Question Answering
text-generation-inference
Model card Files
xet
 Community
1
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Update README.md

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  1. README.md +4 -3
README.md CHANGED
@@ -38,7 +38,7 @@ Sample
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  {
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  "Question": "who is the tallest host?",
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  "Answer": ["sam bee","sam bee"],
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- "Tweet": "Don't believe @ConanOBrien's height lies. Sam Bee is the tallest host in late night. #alternativefacts\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\u2014 Full Frontal (@FullFrontalSamB) January 22, 2017",
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  "qid": "3554ee17d86b678be34c4dc2c04e334f"
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  }
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  ```
@@ -79,10 +79,11 @@ def get_answer(question, context):
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  return tokenizer.decode(output[0], skip_special_tokens=True)
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- context = "Don't believe @ConanOBrien's height lies. Sam Bee is the tallest host in late night. #alternativefacts\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\u2014 Full Frontal (@FullFrontalSamB) January 22, 2017"
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- question = "who is the tallest host?"
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  get_answer(question, context)
 
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  ```
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  Created by: [Narrativa](https://www.narrativa.com/)
 
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  {
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  "Question": "who is the tallest host?",
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  "Answer": ["sam bee","sam bee"],
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+ "Tweet": "Don't believe @ConanOBrien's height lies. Sam Bee is the tallest host in late night. #alternativefacts\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\u2014 Full Frontal (@FullFrontalSamB) January 22, 2017",
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  "qid": "3554ee17d86b678be34c4dc2c04e334f"
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  }
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  ```
 
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  return tokenizer.decode(output[0], skip_special_tokens=True)
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+ context = "MONSTARS BASKETBALL @M0NSTARSBBALLWiggins answers Kemba's floater with a three! game tied 106-106. 8.9 to play. CHA ball!12/4/2016, 2:26:30 AM"
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+ question = 'who answered kemba\'s "floater"?'
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  get_answer(question, context)
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+ # wiggins
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  ```
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  Created by: [Narrativa](https://www.narrativa.com/)