transformers-collection

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0.2.0 transformers_collection-0.2.0-py3-none-any.whl

Wheel Details

Project: transformers-collection
Version: 0.2.0
Filename: transformers_collection-0.2.0-py3-none-any.whl
Download: [link]
Size: 6571
MD5: da4e2daa2ce12fbb32a10b1a80a88319
SHA256: 29e44a33d7c407452c5c0565980ab695d83bb37b69a38809a528d11b81c70178
Uploaded: 2023-01-26 15:03:10 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: transformers-collection
Version: 0.2.0
Summary: A collection of transformer models built using huggingface for various tasks.
Author: Aadhithya Sankar
Author-Email: aadhithya.s[at]outlook.com
Home-Page: https://github.com/aadhithya/transformers-collection
Project-Url: Repository, https://github.com/aadhithya/transformers-collection
License: MIT
Keywords: transformers,huggingface,NLP
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9,<3.11
Requires-Dist: datasets (<3.0.0,>=2.8.0)
Requires-Dist: evaluate (<0.5.0,>=0.4.0)
Requires-Dist: loguru (<0.7.0,>=0.6.0)
Requires-Dist: munch (<3.0.0,>=2.5.0)
Requires-Dist: numpy (<2.0.0,>=1.24.1)
Requires-Dist: pytorch-lightning (<2.0.0,>=1.9.0)
Requires-Dist: scikit-learn (<2.0.0,>=1.2.1)
Requires-Dist: scipy (<2.0.0,>=1.10.0)
Requires-Dist: tensorboard (<3.0.0,>=2.11.2)
Requires-Dist: torch (<2.0,>1.10)
Requires-Dist: transformers (<5.0.0,>=4.26.0)
Requires-Dist: typer (<0.8.0,>=0.7.0)
Description-Content-Type: text/markdown
[Description omitted; length: 1642 characters]

WHEEL

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Tag: py3-none-any

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Path Digest Size
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transformers_collection/__main__.py sha256=3EFNUCvYeKdc5ZRfsm6EjEKgnEuyl58R2Yb6e61fz08 711
transformers_collection/config_loader.py sha256=dHFY2HX9XPCxsvsic6DEmgGr0dR79sXTZto0VmtFUWc 419
transformers_collection/models/base.py sha256=xrB80VPT8evJ0izuUWTZrjcTVH-FSQPLpFrnLeOZcLU 2098
transformers_collection/models/models.py sha256=lOW04AaD4cc7EcmRz4oO4TVMncdySiUDFc-9lycMoiQ 3625
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transformers_collection-0.2.0.dist-info/RECORD

entry_points.txt

transformers-collection = transformers_collection.__main__:app