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text2topicloss

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Project: text2topicloss
Version: 1.0.0
Filename: text2topicloss-1.0.0-py3-none-any.whl
Download: [link]
Size: 15701
MD5: 8df3f6cba2d966c75df21079d24ded5c
SHA256: bd70f4c377cde2877dbc633e89512343a139b6d3788392115b7f0328e0c48897
Uploaded: 2024-06-19 13:22:17 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: text2topicloss
Version: 1.0.0
Summary: Text2topic loss for bi-encoder models
Author-Email: Marc-Alexis Azaïs <azaismarc.pro[at]gmail.com>
Project-Url: Repository, https://github.com/azaismarc/text2topic
Project-Url: Paper, https://aclanthology.org/2023.emnlp-industry.10/
Keywords: text2topic,nlp,topic modeling,BERT,BERTopic
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Customer Service
Classifier: Topic :: Text Processing
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3
Requires-Dist: sentence-transformers
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1625 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
text2topicloss/__init__.py sha256=xLpsAuuKmGTcNxKKvqBffHnb9ThQi5h6boGHRIQzYQQ 79
text2topicloss/text2topicLoss.py sha256=yZK7GJZq_gUXPL83qXUm8b7W6yO6DE7sEz0jVJjmoxg 2811
text2topicloss-1.0.0.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
text2topicloss-1.0.0.dist-info/METADATA sha256=tUj7B0Lt7nYmlIxWo6UUHQ_LxPNyG06zTPzgNzUa3Vw 2520
text2topicloss-1.0.0.dist-info/WHEEL sha256=cpQTJ5IWu9CdaPViMhC9YzF8gZuS5-vlfoFihTBC86A 91
text2topicloss-1.0.0.dist-info/top_level.txt sha256=qonER0c1s-sG2mc_iXutKL5ZHo_CAeST564x9DW1vfw 15
text2topicloss-1.0.0.dist-info/RECORD — —

top_level.txt

text2topicloss