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--- |
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widget: |
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- text: "context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, answer: apologize" |
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example_title: example 1 |
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- text: "context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, answer: 30" |
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example_title: example 2 |
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- text: "context: The news about Vegas is devastating. Sending all our love to the people there right now ❤️❤️❤️— HAIM (@HAIMtheband) October 2, 2017, answer: vegas" |
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example_title: example 3 |
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--- |
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# cardiffnlp/flan-t5-base-tweet-qg |
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This is [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) fine-tuned on [cardiffnlp/super_tweeteval (tweet_qg)](https://huggingface.co/datasets/cardiffnlp/super_tweeteval). |
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### Usage |
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```python |
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from transformers import pipeline |
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pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-base-tweet-qg") |
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output = pipe("context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, answer: apologize") |
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``` |
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