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:
- 3686bbeb4472f26bf3fb2034caa77237aa1f4562b714cb16a7920f3fe27781a2
- Size of remote file:
- 627 Bytes
- SHA256:
- 0fcebb672ab2f76eb34287532745ebb230e34a4bcb92fd708a66bc6d6579e589
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