README.md

---
widget:
- 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, question: what should phylicia rashad do now?"
  example_title: example 1
- 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, question: how many victims have come forward?"
  example_title: example 2
- text: "context: The news about Vegas is devastating. Sending all our love to the people there right now ❤️❤️❤️— HAIM (@HAIMtheband) October 2, 2017, question: where is the news devastating?"
  example_title: example 3
---

# cardiffnlp/flan-t5-small-tweet-qa

This is [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) fine-tuned on [cardiffnlp/super_tweeteval (tweet_qa)](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).

### Usage

```python
from transformers import pipeline

pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-small-tweet-qa")
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, question: what should phylicia rashad do now?")
```