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slicetune

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0.0.1

slicetune-0.0.1-py3-none-any.whl

Wheel Details

Project:	slicetune
Version:	0.0.1
Filename:	slicetune-0.0.1-py3-none-any.whl
Download:	[link]
Size:	10357
MD5:	`970461f54a9852e50cbae9c8821cf68a`
SHA256:	`02826bce76cdc8f41a969313e5395ebb0a471d86012c75dd80692f6e20cccc6d`
Uploaded:	2023-02-02 18:00:24 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version:	2.1
Name:	slicetune
Version:	0.0.1
Summary:	A non-invasive parameter-efficient method for finetuning large neural models.
Author:	Marek Kadlcik
Author-Email:	10684818+markcheeky[at]users.noreply.github.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
Requires-Python:	>=3.8.1,<4.0.0
Requires-Dist:	prettytable (>=3.0.0); extra == "pretty"
Requires-Dist:	torch (>=1.8)
Requires-Dist:	typing-extensions (<5.0.0,>=4.4.0)
Provides-Extra:	pretty
Description-Content-Type:	text/markdown

[Description omitted; length: 9490 characters]

WHEEL

Wheel-Version:	1.0
Generator:	poetry-core 1.4.0
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
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slicetune/model.py	sha256=w8LtPKZcxs57_RkKr5HZsY2-PF6EJ742KoCRtEWX-Qc	8884
slicetune/nn.py	sha256=6fdYwJlpPGcRvRE4ZsBejxFUpIvPJAy09Z4TdIqrXwI	11315
slicetune/utils.py	sha256=HImHi2rrmymD-jwVnxUZzsCQOGXbG6ttwlN2NelxCh0	875
slicetune-0.0.1.dist-info/METADATA	sha256=4MkxeG_T2GVWF9890J7hySl8B2eCDfrgCSUEX5Egyu8	10210
slicetune-0.0.1.dist-info/WHEEL	sha256=vVCvjcmxuUltf8cYhJ0sJMRDLr1XsPuxEId8YDzbyCY	88
slicetune-0.0.1.dist-info/RECORD	—	—