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
File size: 1,277 Bytes
aedc4c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"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)"
}
|