stanford-deidentifier-base
Stanford de-identifier was trained on a variety of radiology and biomedical documents with the goal of automatising the de-identification process while reaching satisfactory accuracy for use in production. Manuscript in-proceedings.
Params
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Context
512
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Specifications
- Architecture
- AutoModel
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2022-06-16
- Training datasets
- radreports
- Added to our catalog
- 2026-07-28
Compare with any token-classification model