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---
widget:
- text: "context: Thanks to @user I just may be switching over to @user, target: @microsoft"
example_title: example 1
- text: "context: If I make a game as a #windows10 Universal App. Will #xboxone owners be able to download and play it in November? @majornelson @Microsoft, target: @microsoft"
example_title: example 2
- text: "context: Microsoft, I may not prefer your gaming branch of business. But, you do make a damn fine operating system. #Windows10 @Microsoft, target: @microsoft"
example_title: example 3
---
# cardiffnlp/flan-t5-base-tweet-sentiment
This is [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) fine-tuned on [cardiffnlp/super_tweeteval (tweet_sentiment)](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
### Usage
```python
from transformers import pipeline
pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-base-tweet-sentiment")
output = pipe("context: Thanks to @user I just may be switching over to @user, target: @microsoft")
```
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