Create README.md

README.md

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+---
+language:
+- sr
+metrics:
+- f1
+- exact_match
+library_name: transformers
+pipeline_tag: question-answering
+---
+# BERTić-SQuAD-sr-lat
+BERTić-SQuAD-sr-lat is a Question Answering neural network for Serbian. It is obtained by fine-tuning [BERTić](https://huggingface.co/classla/bcms-bertic) on a synthetically generated Serbian QA [dataset](https://www.kaggle.com/datasets/aleksacvetanovic/squad-sr) based on SQuAD v1.1.
+
+# Usage
+```python
+from transformers import pipeline
+
+model_name = 'aleksahet/BERTic-squad-sr-lat'
+
+pipe = pipeline('question-answering', model=model_name, tokenizer=model_name)
+
+sample = {
+  'question': 'Kojim sportom se bavi Novak Đoković?',
+  'context': 'Novak Đoković (Beograd, 22. maj 1987) srpski je teniser. Mnogi teniski kritičari, bivši igrači i saigrači smatraju Đokovića jednim od najboljih tenisera u istoriji.'
+}
+
+res = pipe(sample)
+```
+# Performance
+The model vas evaluated on XQuAD samples translated to Serbian. We report the following results:
+
+- Exact Match: ```73.91%```
+- F1: ```82.97%```