Instructions to use Nonegom/klue-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nonegom/klue-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Nonegom/klue-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nonegom/klue-roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("Nonegom/klue-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b66f56cff5f0e170dbc88fff3674fc6e6283b8eb9ec002421e6484eb682753b5
- Size of remote file:
- 1.34 GB
- SHA256:
- 0f6144790f5a5bfc654e94e89c602811d20fe1d1e2b56f6c36151517d8c899d0
路
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