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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fe68b9800aa8cb2a34e0a41a380696e42b7763afc048ea67f242e5474a233f7
- Size of remote file:
- 273 MB
- SHA256:
- 12e0ceb494e9940dcbb541f9050dc90e8ea2e2689605860c01676ea6b0044f66
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