seq2seq-pytorch

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0.1.2 seq2seq_pytorch-0.1.2-py2.py3-none-any.whl

Wheel Details

Project: seq2seq-pytorch
Version: 0.1.2
Filename: seq2seq_pytorch-0.1.2-py2.py3-none-any.whl
Download: [link]
Size: 10413
MD5: 278f38e856f6b6f3d0e63cfbc10a6b6b
SHA256: 82df2014028960e6dad306103f6e8f70dc71e0d88892c9427ef358b2fb549d7f
Uploaded: 2022-04-13 16:03:00 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: seq2seq-pytorch
Version: 0.1.2
Summary: Industrial-grade implementation of seq2seq algorithm based on Pytorch, integrated beam search algorithm.
Author: Chiang97912
Author-Email: chiang97912[at]gmail.com
Home-Page: https://github.com/Chiang97912/seq2seq
Keywords: seq2seq
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: torch (>=1.9.0)
Requires-Dist: torchtext (>=0.3.1)
Requires-Dist: nltk (>=3.5)
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: jieba (>=0.42.1)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 2098 characters]

WHEEL

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Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

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Path Digest Size
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seq2seq/dataset.py sha256=7bhf-vi_Fc_g5T0bwF4oxZBk1hcKEhWpReoC5UD_xCU 520
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seq2seq/tokenizer.py sha256=thHScN1mkugKBYIrJiRCLcbD5ens6f2IbgNMScR1d8A 2349
seq2seq_pytorch-0.1.2.dist-info/LICENSE.txt sha256=LgORJdhj2dyiV4gxw2sxTprAt8-UQZ8jsgG_dbySDUY 1062
seq2seq_pytorch-0.1.2.dist-info/METADATA sha256=EHVw56oHZoK4936PHv97pa3D9OKos76-L8NW673V7y4 2915
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seq2seq_pytorch-0.1.2.dist-info/RECORD

top_level.txt

seq2seq