Update README.md

README.md

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   - text: Rigtig god service!
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-Model for customer review classification (classes: ⭐, ⭐⭐, ⭐⭐⭐, ⭐⭐⭐⭐, ⭐⭐⭐⭐⭐). 
+Classification model for short customer reviews written in Danish. 
 
-Fine-tuned model based on "Maltehb/danish-bert-botxo".
+The model uses 5 classes ranging from 1-5 stars:
+
+* ⭐ (poor)
+* ⭐⭐
+* ⭐⭐⭐
+* ⭐⭐⭐⭐
+* ⭐⭐⭐⭐⭐ (very good)
+
+The model is fine-tuned using a pretrained [Danish BERT model]("Maltehb/danish-bert-botxo").
+
+Test the model using the [🤗Transformers](https://github.com/huggingface/transformers) library pipeline:
+
+```python
+from transformers import pipeline
+
+classifier = pipeline("sentiment-analysis", model="danish-bert-review-sentiment")
+classifier("Intet virkede og ingen hjælp at hente.")
+
+#[{'label': '⭐', 'score': 0.4953940808773041}]
+```
+
+Or load it using the Auto* classes:
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+model = AutoModelForSequenceClassification.from_pretrained("danish-bert-review-sentiment")
+tokenizer = AutoTokenizer.from_pretrained("danish-bert-review-sentiment")
+```