Update README.md

README.md

@@ -7,11 +7,25 @@ metrics:
 - accuracy
 - f1
 pipeline_tag: text-classification
+datasets:
+- LoneWolfgang/japanese-twitter-sentiment
 ---
 
 # BERT for Sentiment Analysis of Japanese Twitter
+
 This model was finetuned from [BERT for Japanese Twitter](https://huggingface.co/LoneWolfgang/bert-for-japanese-twitter).
 
-This model was finetuned on the Japanese Twitter Sentiment 1k, which includes 1000 examples with four sentiment labels: negative, neutral, positive, and mixed.
+<b>Labels</b>: 
+0 -> Negative;
+1 -> Neutral;
+2 -> Positive
 
-[BERT for Japanese SNS Sentiment](https://huggingface.co/LoneWolfgang/bert-for-japanese-sns-sentiment) is reccomended over this model.
+## Example Pipeline
+```python
+from transformers import pipeline
+sentiment = pipeline("sentiment-analysis", model="LoneWolfgang/bert-for-japanese-twitter-sentiment")
+sentiment ("こちらのカフェ、サービスが残念でした。二度と行かないかな…😞 #がっかり")
+```
+```
+[{'label': 'negative', 'score': 0.8242}]
+```