Instructions to use klue/roberta-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klue/roberta-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="klue/roberta-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("klue/roberta-small") model = AutoModelForMaskedLM.from_pretrained("klue/roberta-small", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c55ab2c3b42caf40c2ea2ce6e2a1717ea7461a2528d56f14dcff997afe22f9f3
- Size of remote file:
- 233 MB
- SHA256:
- e1a9b1bb1c2999b593c67ca7ff1fa1a32dddcf0df9900e676dcecc73081e7ea4
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