Instructions to use nlpotato/roberta_large_origin_added_korquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpotato/roberta_large_origin_added_korquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpotato/roberta_large_origin_added_korquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpotato/roberta_large_origin_added_korquad") model = AutoModelForQuestionAnswering.from_pretrained("nlpotato/roberta_large_origin_added_korquad") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("nlpotato/roberta_large_origin_added_korquad")
model = AutoModelForQuestionAnswering.from_pretrained("nlpotato/roberta_large_origin_added_korquad")Quick Links
No model card
- Downloads last month
- 9
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpotato/roberta_large_origin_added_korquad")