Instructions to use ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii") model = AutoModelForTokenClassification.from_pretrained("ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card with improved documentation
#1 opened 6 months ago
by
MikeDoes