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:
- ad18ed1b76f71233781054b482d1e5418df161bdf387439ef3a534f5f8338521
- Size of remote file:
- 2.69 GB
- SHA256:
- 139652037217fd89b468e138a39ce1ec8f7dff634ea8b56be7284728d42493e0
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