Token Classification
Transformers
PyTorch
Ukrainian
roberta
ukrainian
pos
ubertext
dependency-parsing
Instructions to use KoichiYasuoka/roberta-base-ukrainian-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-base-ukrainian-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KoichiYasuoka/roberta-base-ukrainian-upos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-ukrainian-upos") model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-ukrainian-upos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1baf438f9c8e96a07937d8dcfcf2110cdd248f4b2c76b6cd7100ef68f3a5d38
- Size of remote file:
- 445 MB
- SHA256:
- 4674870b5d778e8f42d84a31fc87f0b3e4e5bef406725a41b34ae55b1b62a0a6
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