Instructions to use qwazer/rubert-address-elements with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qwazer/rubert-address-elements with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="qwazer/rubert-address-elements")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("qwazer/rubert-address-elements") model = AutoModelForTokenClassification.from_pretrained("qwazer/rubert-address-elements") - Notebooks
- Google Colab
- Kaggle
Model for https://github.com/qwazer/ruaddress-elements-classification research project
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Model tree for qwazer/rubert-address-elements
Base model
cointegrated/rubert-tiny2