Instructions to use denis-gordeev/rured2-ner-microsoft-mdeberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use denis-gordeev/rured2-ner-microsoft-mdeberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="denis-gordeev/rured2-ner-microsoft-mdeberta-v3-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("denis-gordeev/rured2-ner-microsoft-mdeberta-v3-base") model = AutoModelForTokenClassification.from_pretrained("denis-gordeev/rured2-ner-microsoft-mdeberta-v3-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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