Instructions to use proycon/bert-ner-cased-sonar1-nld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proycon/bert-ner-cased-sonar1-nld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="proycon/bert-ner-cased-sonar1-nld", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("proycon/bert-ner-cased-sonar1-nld") model = AutoModelForTokenClassification.from_pretrained("proycon/bert-ner-cased-sonar1-nld", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eff1538a5461ed4c67f9ade8430202521c67c87ca1f2920886b1b888808b122
- Size of remote file:
- 434 MB
- SHA256:
- 97a88085a17b0cd12ba3c2c4956c29f3993cf82825f07b8098e30ba74c4fb23f
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