Instructions to use wietsedv/bert-base-dutch-cased-finetuned-sonar-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wietsedv/bert-base-dutch-cased-finetuned-sonar-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wietsedv/bert-base-dutch-cased-finetuned-sonar-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wietsedv/bert-base-dutch-cased-finetuned-sonar-ner") model = AutoModelForTokenClassification.from_pretrained("wietsedv/bert-base-dutch-cased-finetuned-sonar-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e3c2a22e99ebb3338d7d375fb933218a37cb36faa974f31c64f2ee2c3735a33
- Size of remote file:
- 434 MB
- SHA256:
- 9f74a4cc5d1e3725c2134701a5c1182a9bef0ec97af33e5d0d62c2dba6fa7497
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