Added eval code

evaluate.py

@@ -1,5 +1,13 @@
 from transformers import AutoTokenizer, AutoModel
-  
-tokenizer = AutoTokenizer.from_pretrained("birgermoell/roberta-swedish-scandi")
+from transformers import RobertaTokenizer, RobertaForMaskedLM, pipeline
+import torch
 
-model = AutoModel.from_pretrained("birgermoell/roberta-swedish-scandi")
+def pt_evaluate():
+    tokenizer = RobertaTokenizer.from_pretrained('birgermoell/roberta-swedish-scandi')
+    #model = RobertaForMaskedLM.from_pretrained('birgermoell/roberta-swedish-scandi')
+    model = RobertaForMaskedLM.from_pretrained("birgermoell/roberta-swedish-scandi", from_flax=True)
+    my_unmasker_pipeline = pipeline('fill-mask', model=model, tokenizer=tokenizer)
+    output = my_unmasker_pipeline("Huvudstaden i Sverige är <mask>.")
+    print(output)
+
+pt_evaluate()