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0.2.1 mim_nlp-0.2.1-py3-none-any.whl

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Project: mim-nlp
Version: 0.2.1
Filename: mim_nlp-0.2.1-py3-none-any.whl
Download: [link]
Size: 32346
MD5: df07d5b256868e01321fa54e419a7eb6
SHA256: 47842a0209aa78abf6a94a436a2f1dbfcaf17fbe5faebf1edac42c44cb2982e8
Uploaded: 2024-07-25 11:58:56 +0000

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METADATA

Metadata-Version: 2.1
Name: mim-nlp
Version: 0.2.1
Summary: A Python package with ready-to-use models for various NLP tasks and text preprocessing utilities. The implementation allows fine-tuning.
Author: Michał Brzozowski
Home-Page: https://github.com/mim-solutions/mim_nlp
Project-Url: Bug Tracker, https://github.com/mim-solutions/mim_nlp/issues
Project-Url: Repository, https://github.com/mim-solutions/mim_nlp
License: MIT
Keywords: nlp,natural-language-processing,machine-learning,deep-learning,neural-network,transfer-learning,text-classification,text-regression,seq2seq,summarization,text,text-preprocessing,text-cleaning,lemmatization,deduplication,transformers,pytorch
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
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: accelerate (<0.21.0,>=0.20.1); extra == "regressor" or extra == "seq2seq"
Requires-Dist: advertools (<0.14.0,>=0.13.2); extra == "preprocessing"
Requires-Dist: gensim (<5.0.0,>=4.3.1); extra == "preprocessing"
Requires-Dist: loguru (<0.8.0,>=0.7.0); extra == "seq2seq"
Requires-Dist: matplotlib (<4.0.0,>=3.7.1); extra == "svm" or extra == "classifier"
Requires-Dist: more-itertools (<10.0.0,>=9.1.0); extra == "seq2seq"
Requires-Dist: morfeusz2 (<2.0.0,>=1.99.7); extra == "preprocessing"
Requires-Dist: numpy (<2.0.0,>=1.24.1)
Requires-Dist: pytorch-lightning (>=1.5); extra == "classifier" or extra == "regressor"
Requires-Dist: scikit-learn (<2.0.0,>=1.2.2); extra == "svm" or extra == "classifier" or extra == "regressor" or extra == "seq2seq"
Requires-Dist: scipy (<2.0.0,>=1.10.1); extra == "preprocessing"
Requires-Dist: torch (>=1.7.1); extra == "classifier" or extra == "regressor" or extra == "seq2seq"
Requires-Dist: torchmetrics (<2.0.0,>=1.0.0); extra == "classifier" or extra == "regressor"
Requires-Dist: tqdm (<5.0.0,>=4.65.0); extra == "seq2seq"
Requires-Dist: transformers (<5.0.0,>=4.29.2); extra == "classifier" or extra == "regressor" or extra == "seq2seq"
Provides-Extra: classifier
Provides-Extra: preprocessing
Provides-Extra: regressor
Provides-Extra: seq2seq
Provides-Extra: svm
Description-Content-Type: text/markdown
[Description omitted; length: 3752 characters]

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