Create README.md

README.md

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+---
+pipeline_tag: token-classification
+tags:
+- named-entity-recognition
+- sequence-tagger-model
+widget:
+- text: A nevem Amadeus Wolfgang és Berlinben élek
+inference:
+  parameters:
+    aggregation_strategy: simple
+    grouped_entities: true
+language:
+- hu
+---
+
+xlm-roberta model trained on ukrainian ner dataset
+
+
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+from transformers import pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("EvanD/xlm-roberta-base-ukrainian-ner-ukrner")
+ner_model = AutoModelForTokenClassification.from_pretrained("EvanD/xlm-roberta-base-ukrainian-ner-ukrner")
+
+nlp = pipeline("ner", model=ner_model, tokenizer=tokenizer, aggregation_strategy="simple")
+example = "A nevem Amadeus Wolfgang és Berlinben élek"
+
+ner_results = nlp(example)
+print(ner_results)
+```