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 tokenizer.json from valendra/privacy-filter-mini: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/valendra/privacy-filter-mini/resolve/main/tokenizer.json
- Command line
-
hf download hf://valendra/privacy-filter-mini/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/valendra/privacy-filter-mini/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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