kandi X-RAY | ZhiHu_Code Summary
kandi X-RAY | ZhiHu_Code Summary
ZhiHu_Code is a Python library. ZhiHu_Code has no bugs, it has no vulnerabilities and it has low support. However ZhiHu_Code build file is not available. You can download it from GitHub.
ZhiHu_Code
ZhiHu_Code
Support
Quality
Security
License
Reuse
Support
ZhiHu_Code has a low active ecosystem.
It has 14 star(s) with 8 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
ZhiHu_Code has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ZhiHu_Code is current.
Quality
ZhiHu_Code has no bugs reported.
Security
ZhiHu_Code has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ZhiHu_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
ZhiHu_Code releases are not available. You will need to build from source code and install.
ZhiHu_Code has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed ZhiHu_Code and discovered the below as its top functions. This is intended to give you an instant insight into ZhiHu_Code implemented functionality, and help decide if they suit your requirements.
- Transformer transformer model
- Attention layer
- Dropout dropout
- Get the shape of a tensor
- Forward computation
- Get the assignment map from a checkpoint
- Apply gradients
- Creates an optimizer
- Train the model
- Generate batches of data
- Reads from a json file
- Create BertConfig from a dict
- Tokenize text
- Convert to unicode
- Split text into tokens
- Start the classification server
- Predict label for given text
- Embedding postprocessor
- Layer norm and dropout
- Creates an attention mask from input tensors
- Embed word embedding
- Loads a vocabulary
- Saves the TensorFlow model
- Predict the label for the given text
- Build prepro build features
- Returns a list of documents score
- Gets the score for the given query
Get all kandi verified functions for this library.
ZhiHu_Code Key Features
No Key Features are available at this moment for ZhiHu_Code.
ZhiHu_Code Examples and Code Snippets
No Code Snippets are available at this moment for ZhiHu_Code.
Community Discussions
No Community Discussions are available at this moment for ZhiHu_Code.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ZhiHu_Code
You can download it from GitHub.
You can use ZhiHu_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.
You can use ZhiHu_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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