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: 464 Bytes
02cc6ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"local_archive_mcp_tests": {
"passed": 30,
"failed": 0,
"skipped": 0
},
"runtime_unit_tests": {
"passed": 3,
"failed": 0
},
"transformers_load": {
"parameters": 65202447,
"labels": 15,
"local_files_only": true
},
"hub_fresh_download": "Recorded separately in release report after the final immutable commit is downloaded.",
"platform": "macOS ARM64",
"mcp_revision": "c2c45ec62728d85b7472131a3df9ccb67afd4a02"
}
|