Django NER Trainer
Tools for training spaCy Named Entity Recognition models in Django
Documentation
Documentation is available in the docs directory and at https://johnfraney.github.io/django-ner-trainer.
Credits
Tools used in rendering this package:
Code of Conduct
Everyone interacting in the project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the PyPA Code of Conduct.
History
0.1.0 (2018-06-02)
- First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for django-ner-trainer 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| django-ner-trainer-0.1.0.tar.gz | 10.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| django_ner_trainer-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 22.0 kB
Release files / django-ner-trainer-0.1.0.tar.gz
| Download URL | django-ner-trainer-0.1.0.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Release files / django_ner_trainer-0.1.0-py2.py3-none-any.whl
| Download URL | django_ner_trainer-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 11.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
