Token Classification
Transformers
Safetensors
openai_privacy_filter
pii
ner
privacy
redaction
multilingual
openmed
openai-privacy-filter
Instructions to use OpenMed/privacy-filter-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/privacy-filter-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/privacy-filter-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/privacy-filter-multilingual") model = AutoModelForTokenClassification.from_pretrained("OpenMed/privacy-filter-multilingual") - Notebooks
- Google Colab
- Kaggle
Initial publish of OpenMed/privacy-filter-multilingual. Renamed from privacy-filter-openmed-pii54-multilingual; clean README matching OpenMed/privacy-filter-nemotron format. Training artifact JSONs intentionally not redistributed here.
7656d47 verified | { | |
| "backend": "tokenizers", | |
| "eos_token": "<|endoftext|>", | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 128000, | |
| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |