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:
- b3aa5122b09779a75c9c6f76dc747d937cf91780fe999a4f055bbe1305185178
- Size of remote file:
- 557 Bytes
- SHA256:
- b36a55bcf2baff407691543bae09334561a9cc0288c7d09bc32c0597a006500a
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