fix typos

README.md

@@ -12,14 +12,14 @@ widget:
 # Danish BERT fine-tuned for Sentiment Analysis (Polarity)
 This model detects polarity ('positive', 'neutral', 'negative') of danish texts.
 
-It is trained on Tweets, that have been annotated by [Alexandra Institute](https://github.com/alexandrainst).
+It is trained and tested on Tweets annotated by [Alexandra Institute](https://github.com/alexandrainst).
 
 Here is an example on how to load the model in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library:
 
 ```python
-from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 tokenizer = AutoTokenizer.from_pretrained("larskjeldgaard/senda")
-model = AutoModelForTokenClassification.from_pretrained("larskjeldgaard/senda")
+model = AutoModelForSequenceClassification.from_pretrained("larskjeldgaard/senda")
 
 # create 'senda' sentiment analysis pipeline 
 senda_pipeline = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)