metadata
language:
- de
tags:
- deepset/gbert-large
German Sentiment Analysis
This model predicts sentiment for German text.
To use this model, first set it up:
# if necessary:
# pip install transformers
from transformers import pipeline
sentiment_model = pipeline(model=aari1995/German_Sentiment)
to use it:
sentence = ["Ich liebe die Bahn. Pünktlich wie immer ... -.-","Meine Beschwerde wurde super abgewickelt"]
result = sentiment_model(sentence)
print(result)
#Output:
#[{'label': 'negative', 'score': 0.4935680031776428},{'label': 'positive', 'score': 0.4388483762741089}]
Credits / Special Thanks: This model was fine-tuned by Aaron Chibb. It is trained on twitter dataset by tygiangz and based on gBERT-large by deepset.