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BERTic-squad-sr-lat
aleksahet/BERTic-squad-sr-lat
BERTic-squad-sr-lat is a question answering model from aleksahet. Use it when the input is a question plus a passage. It is set up for transformers.
BERTić-SQuAD-sr-lat is a Question Answering neural network for Serbian. It is obtained by fine-tuning BERTić on a synthetically generated Serbian QA dataset based on SQuAD v1.1.
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Sep 18, 2023
- SHA
- 0d02ac54
Model card
From the Hugging Face model README
BERTić-SQuAD-sr-lat
BERTić-SQuAD-sr-lat is a Question Answering neural network for Serbian. It is obtained by fine-tuning BERTić on a synthetically generated Serbian QA dataset based on SQuAD v1.1.
Usage
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%
- Task
- Question Answering
- Library
- transformers
- Type
- electra
- Languages
- sr
- Created
- Aug 23, 2023
- Updated
- Sep 18, 2023