Question Answering Models
Collection
5 items • Updated
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("anilguven/mdeberta_tr_qa_turkish_squad")
model = AutoModelForQuestionAnswering.from_pretrained("anilguven/mdeberta_tr_qa_turkish_squad", device_map="auto")Quick Links
Information
This model was developed/finetuned for QA task for the Turkish Language. This model was finetuned via Turkish SQuAD dataset.
Model Sources
- Dataset: https://github.com/boun-tabi/SQuAD-TR
- Paper: peer review (Springer)
- Finetuned from model: https://huggingface.co/timpal0l/mdeberta-v3-base-squad2
Results
- Accuracy: %74.50
Citation
BibTeX: Peer review process
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="anilguven/mdeberta_tr_qa_turkish_squad")