Token Classification
Transformers
Safetensors
xmod
code-switching
language-identification
child-speech
multilingual
Instructions to use ZurichNLP/SwissBERT-CS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurichNLP/SwissBERT-CS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ZurichNLP/SwissBERT-CS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ZurichNLP/SwissBERT-CS") model = AutoModelForTokenClassification.from_pretrained("ZurichNLP/SwissBERT-CS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec92d4e0a1151f43b85d96c399475c73b23c4ee610e83fa8ba615862d091548
- Size of remote file:
- 5.01 kB
- SHA256:
- 6f55e77894f68fa2ad94a1ec5996db90b5182070ed1c67a1ca550d36a88a26a4
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