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eca2772
updated model card to explain reasons for forking
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README.md
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- en
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license: mit
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---
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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.
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These model weights are the recommended ones among all available deidentifier weights.
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- en
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license: mit
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---
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08/02/2025
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## Please Note:
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This is a rebased fork of this safetensor version: [Safetensor Hash](https://huggingface.co/StanfordAIMI/stanford-deidentifier-base/blob/eca27720223180335105d76c6b6e0587ac5f103b)
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We had to do this to fix issue 10 for Pteredactyl: https://github.com/SETT-Centre-Data-and-AI/Pteredactyl/issues/10
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The original model is unchanged and all the credit goes to Stanford for their work on this. Licensing is the same.
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## Repo and Demo
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The github repo is here: https://github.com/SETT-Centre-Data-and-AI/Pteredactyl
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The gradio demo can be found here: https://huggingface.co/spaces/MattStammers/pteredactyl_PII
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## Original Model Card
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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.
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These model weights are the recommended ones among all available deidentifier weights.
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