Read_Bert_Code | Bert源码阅读与讲解

by DA-southampton Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Read_Bert_Code Summary

Read_Bert_Code is a Python library. Read_Bert_Code has no vulnerabilities and it has low support. However Read_Bert_Code has 2 bugs and it build file is not available. You can download it from GitHub.

Bert源码阅读与讲解(Pytorch版本)

Support

Quality

Security

License

Reuse

Support

Read_Bert_Code has a low active ecosystem.

It has 179 star(s) with 43 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 27 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Read_Bert_Code is current.

Quality

Read_Bert_Code has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 124 code smells.

Security

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

Read_Bert_Code code analysis shows 0 unresolved vulnerabilities.

There are 5 security hotspots that need review.

License

Read_Bert_Code does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Read_Bert_Code 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.

Read_Bert_Code saves you 5463 person hours of effort in developing the same functionality from scratch.

It has 11451 lines of code, 756 functions and 53 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Read_Bert_Code and discovered the below as its top functions. This is intended to give you an instant insight into Read_Bert_Code implemented functionality, and help decide if they suit your requirements.

Train the model
Performs a single step
Evaluate a model
Seed everything
Forward attention
Post - attention projection
Core function for rel attention
Forward computation
Compute the logit
Computes the loss function
Prune hidden heads
Sets random seed
Compute attention
Prune heads before splitting
Prune the given heads
Save model to file
Calculate the attention matrix
Convert a checkpoint checkpoint file to PyTorch model
Convert examples to features
Create a Config object from a pretrained model
Create tokenizer from pretrained model
Convert Tensorflow to Tensorflow
Loads weights from a TF model
Tokenize text
Run prediction on the given model
Forward the algorithm
Extract weights from ERN

Get all kandi verified functions for this library.

Read_Bert_Code Key Features

No Key Features are available at this moment for Read_Bert_Code.

Read_Bert_Code Examples and Code Snippets

No Code Snippets are available at this moment for Read_Bert_Code.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Read_Bert_Code

You can download it from GitHub.
You can use Read_Bert_Code 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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