Wheelodex » Projects » text-tagging-model » text_tagging_model-0.1.4-py3-none-any.whl

text-tagging-model

View on PyPI — Reverse Dependencies (0)

0.1.4 text_tagging_model-0.1.4-py3-none-any.whl

Wheel Details

Project: text-tagging-model
Version: 0.1.4
Filename: text_tagging_model-0.1.4-py3-none-any.whl
Download: [link]
Size: 16266
MD5: 58399be81237691927d206a7c3d11486
SHA256: 826f157c429b5422b2178bb71c97bf18fddaba9ac0089bb003a8522fc68a68ee
Uploaded: 2024-04-12 11:01:25 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: text-tagging-model
Version: 0.1.4
Summary: Here we collected some online and offline models for text tagging.
Author: Pavel Kochkin
Author-Email: kochkin27[at]gmail.com
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: >=3.9,<4.0
Requires-Dist: coloredlogs (<16.0.0,>=15.0.1)
Requires-Dist: fasttext-wheel (<0.10.0,>=0.9.2)
Requires-Dist: nltk (<4.0.0,>=3.8.1)
Requires-Dist: numpy (<2.0.0,>=1.24.4)
Requires-Dist: pymorphy2 (<0.10.0,>=0.9.1)
Requires-Dist: rake-nltk (<2.0.0,>=1.0.6)
Requires-Dist: rouge (<2.0.0,>=1.0.1)
Requires-Dist: scikit-learn (<2.0.0,>=1.4.1.post1)
Requires-Dist: sentence-transformers (<3.0.0,>=2.6.1)
Requires-Dist: sentencepiece (<0.3.0,>=0.2.0)
Requires-Dist: tqdm (<5.0.0,>=4.66.2)
Requires-Dist: transformers (<5.0.0,>=4.39.3)
Description-Content-Type: text/markdown
[Description omitted; length: 851 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.5.2
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
text_tagging_model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
text_tagging_model/logger_config.py sha256=lpYin6s1Y0gMdU6TR_hGgZVuWAoPcIT9hXK1Cy5h8fs 1215
text_tagging_model/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
text_tagging_model/models/bart_based_model/__init__.py sha256=l63_RjsfzniC1BzVgsKYHkS9BvmI-2rNHWDJ-thnjDU 89
text_tagging_model/models/bart_based_model/tag_sum_extractor.py sha256=BsJj0lUwSlKRoVkV_k010ggGVxXkgVXU2Y0ipTXT5f4 3130
text_tagging_model/models/base_extractor.py sha256=u4mv1xiCtAJs61aY6jzOUmJEA5mmBNvlTXsXuW9E_eY 575
text_tagging_model/models/metrics.py sha256=kOx8X0nM-3t0DVbyck0TEH17naQDS2Oi0W7-Blt2vyk 1230
text_tagging_model/models/rake_based_model/__init__.py sha256=csyRMOsJEAfTbuoe6TPvn1OwCjU00305tft3k91k-LM 84
text_tagging_model/models/rake_based_model/keyphrases_extractor.py sha256=CVYosYJKarkxgLEeoDi65XwOYfcT39ROgxYJ8r9Dt3U 1526
text_tagging_model/models/rake_based_model/tags_extractor.py sha256=mEEJZPP-tkAJFHcqxJ3MEyIv7tgzuyg1GqiAPPFHcrw 3236
text_tagging_model/processing/__init__.py sha256=TfnNLibhwu8MzzT1BNDXYgJAmcgQeTBaxezGgomK2bs 216
text_tagging_model/processing/embedder/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
text_tagging_model/processing/embedder/base_embedder.py sha256=FNLFk3e-vg1H7OuxIDQ3UxE6oA2bI8FZYUvht6GdSFo 556
text_tagging_model/processing/embedder/fasttext_embedder.py sha256=DgdG1frbqAkp0ayk8JKgHNNJrs64fA9CAhL-awEYJSY 675
text_tagging_model/processing/embedder/hg_embedder.py sha256=5NcZC_nGO1rei6U68YxCyINSWERXzETzXHhrYOsfODM 1097
text_tagging_model/processing/normalizers/__init__.py sha256=s8gIL_Utu4E8EsoIXMaZ-cdLaMXRJ3Yjiv60J3qTrtc 365
text_tagging_model/processing/normalizers/base_normalizer.py sha256=m3o0O8OOxAWoSz-7klShtXMl4BDRNdyu76jtNGWrIqo 166
text_tagging_model/processing/normalizers/nouns_keeper.py sha256=44bRreV2uijgp_kwkvdrBivYxNrzm2nXnBABerPUBxU 996
text_tagging_model/processing/normalizers/pipe.py sha256=T6YXU-Kzkb8eAUcNLT_WCeOsgZjedETxjeB7mAf8wJ0 624
text_tagging_model/processing/normalizers/punctuation_deleter.py sha256=m6nO8xxUkWV1yyeXsfC3WIVSODpVkjhHkITjNX1pWSA 456
text_tagging_model/processing/normalizers/stopwords_deleter.py sha256=V6SZh7zTlHGMupa_UV7eTbtQ2Zpj5p3966Ul4JQ7wTc 746
text_tagging_model/processing/ranker/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
text_tagging_model/processing/ranker/base_ranker.py sha256=PObUBoSjJEXheCKuk-30fKJQbJjr4hP85lQ3JnwbAjc 1193
text_tagging_model/processing/ranker/max_distance_ranker.py sha256=bRlVTQIVmd_bFRaiaa3ekSRsbivMzGH5WLkQa1rVWGM 762
text_tagging_model/processing/ranker/text_sim_ranker.py sha256=Y29KRdiumnwgQDvU3BHp5q0496WcjJxddsvwAn66d-w 543
text_tagging_model/processing/summarizator/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
text_tagging_model/processing/summarizator/bart_summarization.py sha256=T3Lxd_kCPZHW5JuWUYmE_mrGAzUUvG3ICvUn8zRiT_U 1089
text_tagging_model/processing/utils.py sha256=wrmKAZSh3Xi88HzmDF-pTBMAfPVtBLMCU2kUn3_47gs 58
text_tagging_model-0.1.4.dist-info/METADATA sha256=QtGRum2wbuEJ2TSroJh1FIQWP3wSY1Z-BYR4SfVbTes 1853
text_tagging_model-0.1.4.dist-info/WHEEL sha256=7Z8_27uaHI_UZAc4Uox4PpBhQ9Y5_modZXWMxtUi4NU 88
text_tagging_model-0.1.4.dist-info/RECORD — —