Instructions to use lassl/roberta-ko-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lassl/roberta-ko-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lassl/roberta-ko-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lassl/roberta-ko-small") model = AutoModelForMaskedLM.from_pretrained("lassl/roberta-ko-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ee0b563ff900e4ea3ad1a274491207b23a27f7ecfadc4025613db8491fe77cd
- Size of remote file:
- 91.4 MB
- SHA256:
- 345d994e07efd29cbf1e319578215dd256dd4fe41c6fb8341aa72858a122c32e
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