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
File size: 129 Bytes
45ff303 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6f55e77894f68fa2ad94a1ec5996db90b5182070ed1c67a1ca550d36a88a26a4
size 5009
|