bin2ckpt | Convert Huggingface Pytorch checkpoint to Tensorflow

by jsksxs360 Python Version: Current License: Apache-2.0

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kandi X-RAY | bin2ckpt Summary

bin2ckpt is a Python library. bin2ckpt has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However bin2ckpt build file is not available. You can download it from GitHub.

Convert Huggingface Pytorch checkpoint to Tensorflow checkpoint. 详细说明可以参见《将 PyTorch 版 bin 模型转换成 Tensorflow 版 ckpt》.

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License

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Support

bin2ckpt has a low active ecosystem.

It has 13 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 45 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bin2ckpt is current.

Quality

bin2ckpt has no bugs reported.

Security

bin2ckpt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

bin2ckpt is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

bin2ckpt releases are not available. You will need to build from source code and install.

bin2ckpt has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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bin2ckpt Key Features

No Key Features are available at this moment for bin2ckpt.

bin2ckpt Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install bin2ckpt

You can download it from GitHub.
You can use bin2ckpt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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