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happytransformer

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3.0.0 happytransformer-3.0.0-py3-none-any.whl

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Project: happytransformer
Version: 3.0.0
Filename: happytransformer-3.0.0-py3-none-any.whl
Download: [link]
Size: 24697
MD5: 9a3a8e09dd1f686a8c65aaf4320474f9
SHA256: 30e01622603ae191f5febe252a01ba28a6eac9edc3ad123010f667657dfe47d2
Uploaded: 2023-08-05 22:54:02 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: happytransformer
Version: 3.0.0
Summary: Happy Transformer makes it easy to fine-tune NLP Transformer models and use them for inference.
Author: The Happy Transformer Development Team
Author-Email: happytransformer[at]gmail.com
Home-Page: https://github.com/EricFillion/happy-transformer
License: Apache 2.0
Keywords: bert,roberta,ai,transformer,happy,HappyTransformer,classification,nlp,nlu,natural,language,processing,understanding
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: torch (>=1.0)
Requires-Dist: tqdm (>=4.43)
Requires-Dist: transformers (<5.0.0,>=4.30.1)
Requires-Dist: datasets (<3.0.0,>=2.13.1)
Requires-Dist: sentencepiece
Requires-Dist: protobuf
Requires-Dist: accelerate (<1.0.0,>=0.20.1)
Requires-Dist: tokenizers (<1.0.0,>=0.13.3)
Requires-Dist: wandb
Requires-Dist: dataclasses; python_version < "3.7"
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3060 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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happytransformer/happy_token_classification.py sha256=MPNGT9fsLN_uUzl24NVejYn4OjAWpE8ykjkTfUo4YUM 2146
happytransformer/happy_transformer.py sha256=BdSFxHK7KgDL4mg7BRYdV6uyzgQu1tayEdr4_PiSPO8 13772
happytransformer/happy_word_prediction.py sha256=UxzTEgBCmRpl60j9tKdyRT64PF-94zD9AY61GqBhx_c 4029
happytransformer/adaptors/__init__.py sha256=VFYIgfFacE01f1gtz6pj7m4RJabn0I-EocipUS5Lx1M 355
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happytransformer-3.0.0.dist-info/RECORD — —

top_level.txt

happytransformer