Instructions to use KoichiYasuoka/roberta-base-ukrainian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-base-ukrainian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-base-ukrainian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-ukrainian") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-ukrainian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25f4e4ce514bd94d36f949e5a55b20ba4bce3dac1c8706ce0c934ae4944befd6
- Size of remote file:
- 437 MB
- SHA256:
- 42487fccf14a0382dd3c9418202b72df240c3a078d82cb38e47575f9ee9d09be
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