Token Classification
Transformers
PyTorch
bert
belarusian
bulgarian
macedonian
russian
serbian
ukrainian
pos
dependency-parsing
Instructions to use KoichiYasuoka/bert-base-slavic-cyrillic-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/bert-base-slavic-cyrillic-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KoichiYasuoka/bert-base-slavic-cyrillic-upos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-slavic-cyrillic-upos") model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-slavic-cyrillic-upos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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