Instructions to use klue/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klue/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="klue/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("klue/roberta-base") model = AutoModelForMaskedLM.from_pretrained("klue/roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- affe3994e48a30a5da666871e69640e0f964a627124784fab0afda0e82f09dfe
- Size of remote file:
- 443 MB
- SHA256:
- 46013dcb8f5675acdbeee3c4d17df7b42051d6e1b573f5523f1c3c1faa1479a6
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