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pytorch-bert

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1.0.0a4

pytorch_bert-1.0.0a4-py3-none-any.whl

Wheel Details

Project:	pytorch-bert
Version:	1.0.0a4
Filename:	pytorch_bert-1.0.0a4-py3-none-any.whl
Download:	[link]
Size:	8507
MD5:	`c33bd3023140be775a4cbf946550af04`
SHA256:	`7c0476e79e30c95a0e865e1e49e510f1ccf450dba878ec28c36e53cc92d04831`
Uploaded:	2019-12-15 08:54:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	pytorch-bert
Version:	1.0.0a4
Summary:	bert implementation
Author:	Jeong Ukjae
Author-Email:	jeongukjae[at]gmail.com
Home-Page:	https://github.com/jeongukjae/pytorch-bert
Classifier:	Development Status :: 3 - Alpha
Classifier:	Topic :: Scientific/Engineering
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python
Classifier:	Programming Language :: Python :: 3
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Programming Language :: Python :: 3.7
Requires-Python:	>=3.6, <3.8
Requires-Dist:	torch (>=1.3.0)
Requires-Dist:	tensorflow (>=2.0.0); extra == "with-tf"
Requires-Dist:	numpy; extra == "with-tf"
Provides-Extra:	with-tf

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.33.6)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
pytorch_bert/__init__.py	sha256=DzYM1kpMbumj6kYKgcHBBkzitZmsheAZnZ38cWAiEW4	292
pytorch_bert/feature.py	sha256=VO_edxMAMH_pcA5lupxtkhCZOHkDj48pounzHJoVeS4	2395
pytorch_bert/modeling.py	sha256=0mQK64acvhzggY7Jxy50E7Dn91TZK8eY4ZWqKPsQ4NI	5508
pytorch_bert/tokenizer.py	sha256=L3ISD__1MMSm-KHdftRj_Q0WNtu6rB7QBOjfEvK4Elo	9908
pytorch_bert/weight_converter.py	sha256=2HXDiNY8GMbnVUVSBjoU2zDYnoPXPoC2rLZ2AfttPWA	5107
pytorch_bert-1.0.0a4.dist-info/METADATA	sha256=EB_O8HjIFosF4S0egXqknx4K0d4Pn2H8u2NVpy45BTE	755
pytorch_bert-1.0.0a4.dist-info/WHEEL	sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec	92
pytorch_bert-1.0.0a4.dist-info/top_level.txt	sha256=CdF4MFRoaVzGjwtiBiJBX5G0IWZ1y28pwp8ikmak33M	13
pytorch_bert-1.0.0a4.dist-info/RECORD	—	—

top_level.txt

pytorch_bert