Instructions to use proycon/robbert2-ner-cased-sonar1-nld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proycon/robbert2-ner-cased-sonar1-nld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="proycon/robbert2-ner-cased-sonar1-nld")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("proycon/robbert2-ner-cased-sonar1-nld") model = AutoModelForTokenClassification.from_pretrained("proycon/robbert2-ner-cased-sonar1-nld") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 195dbd5d73e68ac6804362c3576818c012b4c89329b977651c3b7a2e228ae274
- Size of remote file:
- 465 MB
- SHA256:
- f990fabb895dc8024028e99221b94804506a2e6937467760482737ffaf62e312
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