unilm | chinese pretrain unilm | Translation library

by kyang888 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | unilm Summary

unilm is a Python library typically used in Utilities, Translation, Tensorflow applications. unilm has no bugs, it has no vulnerabilities and it has low support. However unilm build file is not available. You can download it from GitHub.

chinese pretrain unilm

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Quality

Security

License

Reuse

Support

unilm has a low active ecosystem.

It has 27 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of unilm is current.

Quality

unilm has no bugs reported.

Security

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

License

unilm 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

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

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

Create Bertener from pretrained training
Create BertConfig instance from a dict
Construct an instance from a JSON file
Calculate the masked position of tokens
Creates a trie tree
Adds tokens to the tree
Try to get children of a node
Perform the forward computation
Perform beam search
Performs a single step
Performs the forward computation
Tokenize text
Determine the subset of a state dict
Get the best sequence for a given sample
Load the state of the optimizer
Create a vocabulary from a pretrained model
Merge rules
Tokenize finetune data
Return the state of the optimizer
Perform a forward computation
Replace masked tokens
Convert tokens to ids
Performs a forward computation
Process input function
Return the maximum epoch of the given model
Reads a set from a file

Get all kandi verified functions for this library.

unilm Key Features

No Key Features are available at this moment for unilm.

unilm Examples and Code Snippets

No Code Snippets are available at this moment for unilm.

Community Discussions

Trending Discussions on unilm

torch.nn.CrossEntropyLoss().ignore_index is crashing when importing transfomers library

QUESTION

torch.nn.CrossEntropyLoss().ignore_index is crashing when importing transfomers library

Asked 2021-Jan-28 at 09:25

I am using layoutlm github which require python 3.6, transformer 2.9.0. I created an conda env:

...

ANSWER

Answered 2021-Jan-28 at 09:25

It seems something was broken on layoutlm with pytorch 1.4 related issue. Switching to pytorch 1.6 fix the issue with the core dump, and the layoutlm code run without any modification.

Source https://stackoverflow.com/questions/65582498

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

Vulnerabilities

No vulnerabilities reported

Install unilm

You can download it from GitHub.
You can use unilm 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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