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gender-identification

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0.1.0 gender_identification-0.1.0-py3-none-any.whl

Wheel Details

Project: gender-identification
Version: 0.1.0
Filename: gender_identification-0.1.0-py3-none-any.whl
Download: [link]
Size: 4396
MD5: a7c20a5c49786c9dfb420389b38e9677
SHA256: 53fd63e221aec50c55ce3b358e3dad91a261fe9d5e6bc8cc5646d9c70f082d5d
Uploaded: 2024-05-21 12:57:23 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: gender-identification
Version: 0.1.0
Summary: Identify the gender of people by names in tabular data.
Author: Márton Kardos
Author-Email: power.up1163[at]gmail.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.9,<4.0
Requires-Dist: pandas (<3.0.0,>=2.0.0)
Requires-Dist: radicli (==0.0.25)
Requires-Dist: tqdm (==4.66.0)
Requires-Dist: transformers (<5.0.0,>=4.41.0)
Description-Content-Type: text/markdown
[Description omitted; length: 85 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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gender_identification/__main__.py sha256=n4TadtdBs3lnZd7OIftoXj3eUlX0B5rqqoLhsHuibow 63
gender_identification/cli.py sha256=abZOz39HFF_Y84nqC59AiCpM0jAdTwWLCAvnhl56b0I 2598
gender_identification/inference.py sha256=ToG3IzpQVl8Uli2oGjq0O3EGkCXt6pcKXfsb46i0Nn4 1392
gender_identification-0.1.0.dist-info/LICENSE sha256=gbIGmdCBbILZJb-dWeC1s9VXErzQE_5KJfkXElOuDFI 1095
gender_identification-0.1.0.dist-info/METADATA sha256=-NtVUayU-0SZ8OKYNDnXsMDtUZd3eBi25y1dw0ev3w8 809
gender_identification-0.1.0.dist-info/WHEEL sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg 88
gender_identification-0.1.0.dist-info/RECORD — —