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:
- 4ca5a279e3bb09f38321ba0bf9cf943963611f3da19c5503d32264fa575248fb
- Size of remote file:
- 436 MB
- SHA256:
- 5e2cff1172e34d13eb77778c9787e72818d5f029192bfde888810129e5ae0f9a
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