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0.1.post5 bilm-0.1.post5-py3-none-any.whl

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Project: bilm
Version: 0.1.post5
Filename: bilm-0.1.post5-py3-none-any.whl
Download: [link]
Size: 29126
MD5: d282ed77d512992a0a4d781bad1b4367
SHA256: 98a2e3c332bcefcccda6bf6056f8a0be52c474e62bcb0817787010b22b6969a3
Uploaded: 2018-10-19 19:10:07 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: bilm
Version: 0.1.post5
Summary: Tensorflow implementation of contextualized word representations from bi-directional language models
Author: Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
Author-Email: allennlp-contact[at]allenai.org
Maintainer: Matthew Peters
Home-Page: http://github.com/allenai/bilm-tf
License: Apache License 2.0
Keywords: bilm elmo nlp embedding
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing
Requires-Python: >=3.5
Requires-Dist: h5py
Description-Content-Type: text/markdown
[Description omitted; length: 14726 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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bilm/training.py sha256=qHN5bWH6V8OF3guQWSe_bPe0zpHYCUrcEqOJQFPQsFg 43060
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bilm-0.1.post5.dist-info/RECORD — —
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top_level.txt

bilm