Instructions to use Sangmun/mrc-klue-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sangmun/mrc-klue-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sangmun/mrc-klue-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sangmun/mrc-klue-roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("Sangmun/mrc-klue-roberta-large") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Sangmun/mrc-klue-roberta-large")
model = AutoModelForQuestionAnswering.from_pretrained("Sangmun/mrc-klue-roberta-large")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sangmun/mrc-klue-roberta-large")