Create README.md

README.md

@@ -0,0 +1,32 @@
+---
+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](https://huggingface.co/datasets/tyqiangz/multilingual-sentiments) and based on gBERT-large by [deepset](https://huggingface.co/deepset/gbert-large).