Instructions to use DimasikKurd/ruRoberta-large_pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/ruRoberta-large_pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/ruRoberta-large_pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/ruRoberta-large_pos") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/ruRoberta-large_pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 930c00a4f943ba8ea45e857ec202aac89ce0313ce9367319fcbcfb020b28b857
- Size of remote file:
- 4.92 kB
- SHA256:
- 22adfdf9f076fd7f953a83a054348c78f1c76468269b41d527dd7bbc1cf3e8e4
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