Token Classification
Transformers
ONNX
Safetensors
English
distilbert
pii
privacy
experimental
datafog
Instructions to use DataFog/pii-en-65m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataFog/pii-en-65m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DataFog/pii-en-65m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DataFog/pii-en-65m") model = AutoModelForTokenClassification.from_pretrained("DataFog/pii-en-65m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from DataFog/pii-en-65m: direct link, hf CLI and curl.
- Browser
- Download file 261 MB
-
https://huggingface.co/DataFog/pii-en-65m/resolve/07ab3c29d4d326d8e1ab46c254339d308493184f/model.safetensors
- Command line
-
hf download hf://DataFog/pii-en-65m@07ab3c29d4d326d8e1ab46c254339d308493184f/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/DataFog/pii-en-65m/resolve/07ab3c29d4d326d8e1ab46c254339d308493184f/model.safetensors
261 MB
- Xet hash:
- ce141b25bf5fd12f6cb8d316649cc2cc96877ff4d93a202210f5f0b31c3fcddd
- Size of remote file:
- 261 MB
- SHA256:
- a27e2fb1d71fb3fbbfe99eb940a23be6ae90f3dcc7293b79fc4eb5b24369a010
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