Instructions to use dswah/address-ner-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dswah/address-ner-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dswah/address-ner-de")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dswah/address-ner-de") model = AutoModelForTokenClassification.from_pretrained("dswah/address-ner-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8eb059ea9e74b43acd5fb207835bea621ff61180804802f7329a23920d64d2e1
- Size of remote file:
- 539 MB
- SHA256:
- 4f1cd4965de8cc6e0c63cc5ae2d2a27dc49c91f09329b6b664018694b944fc37
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