Token Classification
Transformers
ONNX
Safetensors
xlm-roberta
pii
pii-detection
ner
named-entity-recognition
swiss
swiss-german
de-CH
fr-CH
it-CH
privacy
gdpr
quantized
Eval Results (legacy)
Instructions to use joelbarmettler/gheim-ch-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelbarmettler/gheim-ch-560m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="joelbarmettler/gheim-ch-560m")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("joelbarmettler/gheim-ch-560m") model = AutoModelForTokenClassification.from_pretrained("joelbarmettler/gheim-ch-560m") - Notebooks
- Google Colab
- Kaggle