ALBERT_NER

 by   chenlian-zhou Python Version: Current License: No License

kandi X-RAY | ALBERT_NER Summary

kandi X-RAY | ALBERT_NER Summary

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

ALBERT_NER
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            kandi-support Support

              ALBERT_NER has a low active ecosystem.
              It has 14 star(s) with 4 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ALBERT_NER has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ALBERT_NER is current.

            kandi-Quality Quality

              ALBERT_NER has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ALBERT_NER 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

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

            Top functions reviewed by kandi - BETA

            kandi has reviewed ALBERT_NER and discovered the below as its top functions. This is intended to give you an instant insight into ALBERT_NER implemented functionality, and help decide if they suit your requirements.
            • R Prelln_transformer
            • Reshape a tensor from a matrix
            • Assert that the tensor has the expected rank
            • Get the shape of a tensor
            • Build a function for TPUEstimator
            • Get the assignment map from a checkpoint
            • Creates an optimizer
            • Apply gradients
            • Validate a case insensitive case
            • Returns a function that builds the model
            • Train the model
            • Embed word embedding
            • Build a file - like input function
            • Create training instances
            • Creates an attention mask from input tensors
            • Generates a sequence mask for seq2seq
            • Extract entities from an entity
            • Convert label to id
            • Load vocabulary from file
            • Tokenize text
            • Embedding postprocessor
            • Create MLM instances from a document
            • Optimize the graph
            • Write examples to examples
            • Builds the input function
            • Convert a single example
            Get all kandi verified functions for this library.

            ALBERT_NER Key Features

            No Key Features are available at this moment for ALBERT_NER.

            ALBERT_NER Examples and Code Snippets

            No Code Snippets are available at this moment for ALBERT_NER.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install ALBERT_NER

            You can download it from GitHub.
            You can use ALBERT_NER 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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            CLONE
          • HTTPS

            https://github.com/chenlian-zhou/ALBERT_NER.git

          • CLI

            gh repo clone chenlian-zhou/ALBERT_NER

          • sshUrl

            git@github.com:chenlian-zhou/ALBERT_NER.git

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