Instructions to use ZurichNLP/swissbert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurichNLP/swissbert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ZurichNLP/swissbert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ZurichNLP/swissbert-ner") model = AutoModelForTokenClassification.from_pretrained("ZurichNLP/swissbert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e110a39366548d660c4021b86995fd8f435c7285d734c6415286958b157d07ed
- Size of remote file:
- 610 MB
- SHA256:
- d583cd493182cb78fb9f0230f262e9c5c7fac7e3218c8b6942a4269c80232804
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