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0.0.2 laser_encoders-0.0.2-py3-none-any.whl

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Project: laser-encoders
Version: 0.0.2
Filename: laser_encoders-0.0.2-py3-none-any.whl
Download: [link]
Size: 24333
MD5: 71d54e77d8cbd47422b21c9a99ef9416
SHA256: dd455b058e90da3fca6f40ea285abd66b71cf7efd3599e2748093811321cb38f
Uploaded: 2024-05-02 20:30:59 +0000

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METADATA

Metadata-Version: 2.1
Name: laser_encoders
Version: 0.0.2
Summary: LASER Language-Agnostic SEntence Representations is a toolkit to calculate multilingual sentence embeddings and to use them for document classification, bitext filtering and mining
Author: Facebook AI Research
Project-Url: Bug Tracker, https://github.com/facebookresearch/LASER/issues
Project-Url: Homepage, https://github.com/facebookresearch/LASER
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.8
Requires-Dist: sacremoses (==0.1.0)
Requires-Dist: unicategories (>=0.1.2)
Requires-Dist: sentencepiece (>=0.1.99)
Requires-Dist: numpy (>=1.21.3)
Requires-Dist: torch (>=1.10.0)
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Requires-Dist: flit (>=3.5.1); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
[Description omitted; length: 6109 characters]

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