BERT-Multiclass | BERT implementation for Multi-label/Multi-class | Data Labeling library

 by   ThiagoSousa Python Version: Current License: Apache-2.0

kandi X-RAY | BERT-Multiclass Summary

kandi X-RAY | BERT-Multiclass Summary

BERT-Multiclass is a Python library typically used in Artificial Intelligence, Data Labeling, Bert, Neural Network, Transformer applications. BERT-Multiclass has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

BERT implementation for Multi-label/Multi-class Classification
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            kandi-support Support

              BERT-Multiclass has a low active ecosystem.
              It has 4 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BERT-Multiclass is current.

            kandi-Quality Quality

              BERT-Multiclass has 0 bugs and 0 code smells.

            kandi-Security Security

              BERT-Multiclass has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              BERT-Multiclass code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              BERT-Multiclass 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.

            kandi-Reuse Reuse

              BERT-Multiclass 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 BERT-Multiclass and discovered the below as its top functions. This is intended to give you an instant insight into BERT-Multiclass implemented functionality, and help decide if they suit your requirements.
            • Write predictions to file
            • Compute softmax
            • Returns the n_best_size of the logits
            • Return the final prediction
            • Converts examples to features
            • Convert a single example
            • Return a string representation of text
            • Truncates a sequence pair
            • Validate flags
            • Validates that the case matches the given checkpoint
            • Returns a list of input examples
            • Reads input_file
            • Build the input function
            • Loads a vocabulary from a file
            • Tokenize text
            • Validate case - insensitive case
            • Embed word embedding
            • Build a file - based input function
            • Creates TrainingInstances
            • Convert examples to features
            • Creates an attention mask from input tensors
            • Process a single feature
            • Write examples to examples
            • Read a squad example file
            • Transformer transformer model
            • Build a tf model_fn
            • Embedding postprocessor
            Get all kandi verified functions for this library.

            BERT-Multiclass Key Features

            No Key Features are available at this moment for BERT-Multiclass.

            BERT-Multiclass Examples and Code Snippets

            No Code Snippets are available at this moment for BERT-Multiclass.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install BERT-Multiclass

            You can download it from GitHub.
            You can use BERT-Multiclass 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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            gh repo clone ThiagoSousa/BERT-Multiclass

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            git@github.com:ThiagoSousa/BERT-Multiclass.git

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