Instructions to use Dongjae/mrc2reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dongjae/mrc2reader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Dongjae/mrc2reader")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Dongjae/mrc2reader") model = AutoModelForQuestionAnswering.from_pretrained("Dongjae/mrc2reader") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
The Reader model is for Korean Question Answering
The backbone model is deepset/xlm-roberta-large-squad2.
It is a finetuned model with KorQuAD-v1 dataset.
As a result of verification using KorQuAD evaluation dataset, it showed approximately 87% and 92% respectively for the EM score and F1 score.
Thank you
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