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Project: ststransformers
Version: 0.0.5
Filename: ststransformers-0.0.5-py3-none-any.whl
Download: [link]
Size: 63555
MD5: 7c1d8b80899a9b92dbed8b07b2fb8662
SHA256: bba79b92f040faec61914d65889a2ad69657eb190cba2833844e8fd34d3812a9
Uploaded: 2021-11-22 17:13:24 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ststransformers
Version: 0.0.5
Summary: An easy-to-use wrapper library for using Transformers in Semantic Textual Similarity Tasks.
Author: Tharindu Ranasinghe
Author-Email: rhtdranasinghe[at]gmail.com
Home-Page: https://github.com/TharinduDR/STS-Transformers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: requests
Requires-Dist: tqdm (>=4.47.0)
Requires-Dist: regex
Requires-Dist: transformers (>=4.6.0)
Requires-Dist: datasets
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: seqeval
Requires-Dist: tensorboard
Requires-Dist: tensorboardX
Requires-Dist: pandas
Requires-Dist: tokenizers
Requires-Dist: wandb (>=0.10.32)
Requires-Dist: sentencepiece
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 876 characters]

WHEEL

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Tag: py3-none-any

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top_level.txt

examples
ststransformers