lasertagger-chinese | lasertagger-chinese;lasertagger中文学习案例,案例数据,注释,shell运行

 by   425776024 Python Version: Current License: No License

kandi X-RAY | lasertagger-chinese Summary

kandi X-RAY | lasertagger-chinese Summary

lasertagger-chinese is a Python library. lasertagger-chinese has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

lasertagger-chinese;lasertagger中文学习案例,案例数据,注释,shell运行
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            kandi-support Support

              lasertagger-chinese has a low active ecosystem.
              It has 61 star(s) with 9 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of lasertagger-chinese is current.

            kandi-Quality Quality

              lasertagger-chinese has no bugs reported.

            kandi-Security Security

              lasertagger-chinese has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              lasertagger-chinese does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              lasertagger-chinese releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed lasertagger-chinese and discovered the below as its top functions. This is intended to give you an instant insight into lasertagger-chinese implemented functionality, and help decide if they suit your requirements.
            • Connects the TPUEstimator
            • Create a BertModel
            • Get params for decoding
            • Build a TAB example
            • Splits tokens into word pieces
            • Pad all features to the given maximum sequence length
            • Truncate a list
            • Call attention
            • Split the input tensors
            • Reshape x
            • Continue search search
            • Return the inf
            • Builds a file - like input function
            • Returns a function to generate logits
            • Linear logits
            • Performs a sequence search
            • Count the number of tokens added to the data_iterator
            • Grow search step
            • Predict a single tag
            • Builds a TAB example
            • Compute the Sariance score
            • Constructs a matrix of the added phrases
            • Calculate the bias for padding
            • Count covered examples
            • Convert to a tf Example
            • Return a TensorShape containing only the last dimension
            • Write the number of examples
            Get all kandi verified functions for this library.

            lasertagger-chinese Key Features

            No Key Features are available at this moment for lasertagger-chinese.

            lasertagger-chinese Examples and Code Snippets

            No Code Snippets are available at this moment for lasertagger-chinese.

            Community Discussions

            No Community Discussions are available at this moment for lasertagger-chinese.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install lasertagger-chinese

            You can download it from GitHub.
            You can use lasertagger-chinese 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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            https://github.com/425776024/lasertagger-chinese.git

          • CLI

            gh repo clone 425776024/lasertagger-chinese

          • sshUrl

            git@github.com:425776024/lasertagger-chinese.git

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