Token Classification
Transformers
Safetensors
English
Spanish
qwen3
pii
privacy
named-entity-recognition
text-generation-inference
Instructions to use valendra/privacy-filter-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valendra/privacy-filter-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="valendra/privacy-filter-mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("valendra/privacy-filter-mini") model = AutoModelForTokenClassification.from_pretrained("valendra/privacy-filter-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from valendra/privacy-filter-mini: direct link, hf CLI and curl.
- Browser
- Download file 638 Bytes
-
https://huggingface.co/valendra/privacy-filter-mini/resolve/main/NOTICE
- Command line
-
hf download hf://valendra/privacy-filter-mini/NOTICE
-
curl -L -o NOTICE https://huggingface.co/valendra/privacy-filter-mini/resolve/main/NOTICE
638 Bytes
| Valendra Privacy Filter | |
| This project uses Qwen/Qwen3-0.6B-Base, distributed by the Qwen team under | |
| the Apache License 2.0: https://huggingface.co/Qwen/Qwen3-0.6B-Base | |
| Prepared datasets may contain or be derived from: | |
| - OpenPII 1M, by Ai4Privacy / Ai Suisse SA, licensed CC BY 4.0: | |
| https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1m | |
| - Nemotron-PII, by NVIDIA Corporation, licensed CC BY 4.0: | |
| https://huggingface.co/datasets/nvidia/Nemotron-PII | |
| Dataset licenses and attribution requirements apply independently of this | |
| project's Apache 2.0 code license. See the README for source revisions and | |
| additional provenance. | |