README.md

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:

'''python

if necessary:

pip install transformers

from transformers import pipeline

sentiment_model = pipeline(model=aari1995/German_Sentiment) '''

to use it:

'''python 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.