🕵️♂️ ner_anon_pkg
A simple Python package for anonymizing text using Named Entity Recognition (NER).
Swap out real-world names, locations, and organizations with fun entities from Marvel, Star Wars, or Harry Potter!
Built on top of Hugging Face Transformers.
🚀 Features
- 🔍 Named Entity Recognition using fine-tuned BERT models
- 🧙 Replace real entities with fictional ones (Marvel, Star Wars, or Harry Potter)
- 🌍 Multilingual and monolingual model support
- 💡 Clean class-based design (
EntityAnonymizer)
1 maintainer
Metadata
1 maintainer
Release files for ner-anon 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ner_anon-0.1.3.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ner_anon-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.8 kB
Release files / ner_anon-0.1.3.tar.gz
| Download URL | ner_anon-0.1.3.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
7a816d75f9ac9a1b76dc2d52b86ad6040058b2e30833f300956e24277b1d2592
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.6
|
Release files / ner_anon-0.1.3-py3-none-any.whl
| Download URL | ner_anon-0.1.3-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e7c102de661190b96f21bb8c6b2848404f48ae89990025ac9087b533c9958a61
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|
BLAKE2b-256 checksum How to use checksums |
14cb5cac0441964e47721d4f8209d91dd81a879e8ad3c4621674eef44974f6cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.6
|
