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

This is [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) 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-small-tweet-sentiment")
output = pipe("context: Thanks to @user I just may be switching over to @user, target: @microsoft")
```
        
{"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"}]}
transformers pytorch t5 text2text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


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

This is google/flan-t5-small fine-tuned on cardiffnlp/super_tweeteval (tweet_sentiment).

### Usage


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

This is google/flan-t5-small fine-tuned on cardiffnlp/super_tweeteval (tweet_sentiment). ### Usage
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # cardiffnlp/flan-t5-small-tweet-sentiment

This is google/flan-t5-small fine-tuned on cardiffnlp/super_tweeteval (tweet_sentiment). ### Usage