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 release.json from DataFog/pii-en-65m: direct link, hf CLI and curl.
- Browser
- Download file 1.28 kB
-
https://huggingface.co/DataFog/pii-en-65m/resolve/5683ef559df6618f563375b632fdab7352ac1628/release.json
- Command line
-
hf download hf://DataFog/pii-en-65m@5683ef559df6618f563375b632fdab7352ac1628/release.json
-
curl -L -o release.json https://huggingface.co/DataFog/pii-en-65m/resolve/5683ef559df6618f563375b632fdab7352ac1628/release.json
1.28 kB
| { | |
| "version": "0.1.0", | |
| "tag": "v0.1.0", | |
| "repo_id": "DataFog/datafog-pii", | |
| "status": "experimental", | |
| "checkpoint": "epoch-2", | |
| "selection_metric": "lowest validation token cross entropy", | |
| "validation_loss": 0.0018816228932983772, | |
| "test_used_for_selection": false, | |
| "weights_sha256": "a27e2fb1d71fb3fbbfe99eb940a23be6ae90f3dcc7293b79fc4eb5b24369a010", | |
| "onnx_sha256": "04889c1ea2e9029d9b89cd5f35697224634bb06d9777abfa6ea575810b9a3eb2", | |
| "source_workspace": "/Users/sid/Documents/Codex/2026-09-25/take-a-look-at-this-before/outputs/datafog-pii", | |
| "mcp_repo": "https://github.com/DataFog/datafog-mcp", | |
| "mcp_pr": 32, | |
| "mcp_revision": "c2c45ec62728d85b7472131a3df9ccb67afd4a02", | |
| "qualified_platforms": [ | |
| "macos-arm64" | |
| ], | |
| "candidate_platforms": [ | |
| "macos-x86_64", | |
| "linux-x86_64", | |
| "linux-aarch64", | |
| "windows-x86_64" | |
| ], | |
| "runtime_version": "1.30.0", | |
| "runtime_api": 27, | |
| "runtime_source_change": "Only platform-specific library filename selection and portable unit-test tokenizer path; preserved macOS executable unchanged.", | |
| "license": "Apache-2.0 for DataFog weights and source; third-party notices retained; dataset attribution CC-BY-4.0.", | |
| "minimum_macos": "14.0 (packaged dylib load command; executable itself targets 11.0)" | |
| } | |