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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5798db80f7fbb6d589e6da6384549334e40067b460dc667f2f6e72079b8863d
- Size of remote file:
- 443 MB
- SHA256:
- 7f6c521160be3661ec84fd946e4b7d06898112a0f143673ab61c4cf9d7336f9b
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