Token Classification
Transformers
Safetensors
Ukrainian
roberta
ner
named-entity-recognition
pii
pii-detection
personal-data
anonymization
pseudonymization
de-identification
data-privacy
privacy
redaction
legal
legal-nlp
court-decisions
ukrainian
ukraine
synthetic-data
Eval Results (legacy)
Instructions to use davidmelash/wechsel_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidmelash/wechsel_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="davidmelash/wechsel_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("davidmelash/wechsel_base") model = AutoModelForTokenClassification.from_pretrained("davidmelash/wechsel_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K