Instructions to use wooy0ng/korquad1-klue-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooy0ng/korquad1-klue-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="wooy0ng/korquad1-klue-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("wooy0ng/korquad1-klue-roberta-large") model = AutoModelForMaskedLM.from_pretrained("wooy0ng/korquad1-klue-roberta-large") - Notebooks
- Google Colab
- Kaggle
korquad1-klue-roberta-large
This is roberta-large model for question generation.
- Finetuned based on 'klue/roberta-large'
- Finetuned with korquad 1.0 Dataset
How to use
NOTE: Use BertTokenizer instead of RobertaTokenizer. (AutoTokenizer will load BertTokenizer)
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("wooy0ng/korquad1-klue-roberta-large")
tokenizer = AutoTokenizer.from_pretrained("wooy0ng/korquad1-klue-roberta-large")
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