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
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# 📁 Getting Started
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```python
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from transformers import AutoConfig, AutoModelForQuestionAnswering
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config = AutoConfig.from_pretrained('uomnf97/klue-roberta-finetuned-korquad-v2')
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tokenizer = AutoTokenizer.from_pretrained('uomnf97/klue-roberta-finetuned-korquad-v2')
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# 📁 Getting Started
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```python
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from transformers import AutoConfig, AutoModelForQuestionAnswering, AutoTokenizer
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config = AutoConfig.from_pretrained('uomnf97/klue-roberta-finetuned-korquad-v2')
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tokenizer = AutoTokenizer.from_pretrained('uomnf97/klue-roberta-finetuned-korquad-v2')
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