MODEL DESCRIPTION
huBERT base model (cased) fine-tuned on SQuADv2 (NEW!)
- huBert model + Tokenizer: https://huggingface.co/SZTAKI-HLT/hubert-base-cc
- Hungarian SQUADv2 dataset: Machine Translated SQuAD dataset (Google Translate API)
Model in action
- Fast usage with pipelines:
from transformers import pipeline
qa_pipeline = pipeline(
"question-answering",
model="mcsabai/huBert-fine-tuned-hungarian-squadv2",
tokenizer="mcsabai/huBert-fine-tuned-hungarian-squadv2",
topk = 1,
handle_impossible_answer = True
)
predictions = qa_pipeline({
'context': "Máté vagyok és Budapesten élek már több mint 4 éve.",
'question': "Hol lakik Máté?"
})
print(predictions)
# output:
# {'score': 0.9892364144325256, 'start': 16, 'end': 26, 'answer': 'Budapesten'}
Two important parameter: