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1.8.0 sparseml-1.8.0-py3-none-any.whl

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Project: sparseml
Version: 1.8.0
Filename: sparseml-1.8.0-py3-none-any.whl
Download: [link]
Size: 1329141
MD5: c78db1bb990016751903c2d64d5dd1a7
SHA256: 91508d7e9a29902d498972ed8026e867d5512e72299ea95f99c685b20fb5d0da
Uploaded: 2024-06-21 15:53:30 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: sparseml
Version: 1.8.0
Summary: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Author: Neuralmagic, Inc.
Author-Email: support[at]neuralmagic.com
Home-Page: https://github.com/neuralmagic/sparseml
License: Apache
Keywords: inference,machine learning,neural network,computer vision,nlp,cv,deep learning,torch,pytorch,tensorflow,keras,sparsity,pruning,deep learning libraries,onnx,quantization,automl
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Provides-Extra: clip
Provides-Extra: deepsparse
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Provides-Extra: ultralytics
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Description-Content-Type: text/markdown
License-File: LICENSE
License-File: LICENSE-ULTRALYTICS
License-File: NOTICE
[Description omitted; length: 16798 characters]

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sparseml-1.8.0.dist-info/RECORD — —

top_level.txt

sparseml

entry_points.txt

[console_scripts]
sparseml.evaluate = sparseml.evaluation.cli:main
sparseml.export = sparseml.export.export:main
sparseml.framework = sparseml.framework.info:_main
sparseml.image_classification.export_onnx = sparseml.pytorch.torchvision.export_onnx:main
sparseml.image_classification.train = sparseml.pytorch.torchvision.train:cli
sparseml.openpifpaf.export_onnx = sparseml.openpifpaf.export:main
sparseml.openpifpaf.train = sparseml.openpifpaf.train:main
sparseml.pytorch.image_classification.export_onnx = sparseml.pytorch.image_classification.export:main
sparseml.pytorch.image_classification.lr_analysis = sparseml.pytorch.image_classification.lr_analysis:main
sparseml.pytorch.image_classification.pr_sensitivity = sparseml.pytorch.image_classification.pr_sensitivity:main
sparseml.pytorch.image_classification.train = sparseml.pytorch.image_classification.train:main
sparseml.recipe_template = sparseml.pytorch.recipe_template.cli:main
sparseml.sparsification = sparseml.sparsification.info:_main
sparseml.transformers.export_onnx = sparseml.transformers.export:main
sparseml.transformers.export_onnx_refactor = sparseml.transformers.sparsification.obcq.export:main
sparseml.transformers.masked_language_modeling = sparseml.transformers.masked_language_modeling:main
sparseml.transformers.question_answering = sparseml.transformers.question_answering:main
sparseml.transformers.text_classification = sparseml.transformers.text_classification:main
sparseml.transformers.text_generation.apply = sparseml.transformers.finetune.text_generation:apply
sparseml.transformers.text_generation.compress = sparseml.transformers.finetune.text_generation:apply
sparseml.transformers.text_generation.eval = sparseml.transformers.finetune.text_generation:eval
sparseml.transformers.text_generation.finetune = sparseml.transformers.finetune.text_generation:train
sparseml.transformers.text_generation.oneshot = sparseml.transformers.finetune.text_generation:oneshot
sparseml.transformers.text_generation.train = sparseml.transformers.finetune.text_generation:train
sparseml.transformers.token_classification = sparseml.transformers.token_classification:main
sparseml.transformers.train.masked_language_modeling = sparseml.transformers.masked_language_modeling:main
sparseml.transformers.train.question_answering = sparseml.transformers.question_answering:main
sparseml.transformers.train.text_classification = sparseml.transformers.text_classification:main
sparseml.transformers.train.token_classification = sparseml.transformers.token_classification:main
sparseml.ultralytics.export_onnx = sparseml.yolov8.export:main
sparseml.ultralytics.train = sparseml.yolov8.train:main
sparseml.ultralytics.val = sparseml.yolov8.val:main
sparseml.yolact.download = sparseml.yolact.scripts:download
sparseml.yolact.export_onnx = sparseml.yolact.scripts:export
sparseml.yolact.train = sparseml.yolact.scripts:train
sparseml.yolact.validation = sparseml.yolact.scripts:val
sparseml.yolov5.export_onnx = sparseml.yolov5.scripts:export
sparseml.yolov5.train = sparseml.yolov5.scripts:train
sparseml.yolov5.validation = sparseml.yolov5.scripts:val