Instructions to use uomnf97/klue-roberta-finetuned-korquad-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uomnf97/klue-roberta-finetuned-korquad-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="uomnf97/klue-roberta-finetuned-korquad-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("uomnf97/klue-roberta-finetuned-korquad-v2") model = AutoModelForQuestionAnswering.from_pretrained("uomnf97/klue-roberta-finetuned-korquad-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 844dd0c4d9d8177d1e33f0290e4a55ccd9d3d34f5cac01302adc0275fff4460f
- Size of remote file:
- 3.96 kB
- SHA256:
- 3efbc21d48c90b5065460fe64c8f7890a1a4e3d4f7ff964998bd92bd5e84a992
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