huggingface_hub | All the open source things related to the Hugging Face Hub | Computer Vision library

by huggingface Python Version: v0.15.1 License: Apache-2.0

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

kandi X-RAY | huggingface_hub Summary

huggingface_hub is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. huggingface_hub has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'npm i hf-widgets-test' or download it from GitHub, npm.

All the open source things related to the Hugging Face Hub.

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Quality

Security

License

Reuse

Support

huggingface_hub has a medium active ecosystem.

It has 948 star(s) with 229 fork(s). There are 55 watchers for this library.

It had no major release in the last 12 months.

There are 91 open issues and 386 have been closed. On average issues are closed in 37 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of huggingface_hub is v0.15.1

Quality

huggingface_hub has 0 bugs and 0 code smells.

Security

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

huggingface_hub code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

huggingface_hub 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.

Reuse

huggingface_hub releases are available to install and integrate.

Deployable package is available in npm.

Build file is available. You can build the component from source.

It has 21650 lines of code, 1679 functions and 422 files.

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

Top functions reviewed by kandi - BETA

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

Clone a Hugging face repository
Log progress bar
Determine the repo type and id
Run a subprocess
Run the process
Raise HTTP errors for HTTP errors
Read a message from stdin
Write a message to stdout
Attach an attribute to a package
Checks for static imports
Run git
Return the user agent string
Get information about a repository
Hide a discussion comment
Create a new pull request
Validate hook arguments
Create a keras model from pretrained data
Uploads a LFS object to the repo
Load a pretrained model from pretrained data
Return the HTTP user agent string
Delete the cache directory
Create a RepoCard from a template
Check git versions
Set username and email address
Scan the cache directory
Get a logger
Returns the effective verbosity

Get all kandi verified functions for this library.

huggingface_hub Key Features

No Key Features are available at this moment for huggingface_hub.

huggingface_hub Examples and Code Snippets

No Code Snippets are available at this moment for huggingface_hub.

Community Discussions

Trending Discussions on huggingface_hub

ValueError with NERDA model import

QUESTION

ValueError with NERDA model import

Asked 2021-Jun-08 at 21:38

I'm trying to import the NERDA library in order use it to engage in a Named-Entity Recognition task in Python. I initially tried importing the library in a jupyter notebook and got the following error:

...

ANSWER

Answered 2021-Jun-08 at 21:38

Take a look at the source code of the used huggingface_hub lib. They comparing the version of your python version to do different imports.
But you uses a release candidate python version (this tells the value '6rc1', that caused the error). Because they didn't expect/handle this, you get the int-parse-ValueError.

Solution 1:
Update your python version to a stable version. No release candidate. So you have an int-only version number.

Solution 2:
Monkeypatch sys.version, before you import the NERDA libs.

Source https://stackoverflow.com/questions/67894649

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

Vulnerabilities

No vulnerabilities reported

Install huggingface_hub

You can install using 'npm i hf-widgets-test' or download it from GitHub, npm.
You can use huggingface_hub 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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