happytransformer

v3.0.0

Happy Transformer makes it easy to fine-tune NLP Transformer models and use them for inference. For more information about how to use this package see README

Latest version published 1 year ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

50 / 100

security
Security review needed
popularity
Recognized
maintenance
Inactive
community
Sustainable

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Popularity

Recognized

GitHub Stars: 516
Forks: 66
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package happytransformer, we found that it has been starred 516 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Aug 5, 2023
Direct Vulnerabilities: 0
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0
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0
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Indirect Vulnerabilities: 0
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License Risk: 0
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8
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 20
Open PR: 2
Last Release: 1 year ago
Last Commit: 8 months ago

Further analysis of the maintenance status of happytransformer based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for happytransformer is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the happytransformer repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like happytransformer is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.6.*, ==3.7.*

Age: 5 years
Latest Release: 1 year ago
Dependencies: 10 Direct / 56 Total
Versions: 23
Maintainers: 1
Wheels: OS Independent

Readme

PyPI

Happy Transformer

Documentation and news: happytransformer.com

Join our Discord server:

Happy Transformer makes it easy to fine-tune NLP Transformer models and use them for inference.

3.0.0

Deepspeed for training
Apple's MPS for training and inference
WandB to track training runs
Data supplied for training is automatically split into portions for training and evaluating
Push models directly to Hugging Face's Model Hub

Read about the full 3.0.0 update including breaking changes here.

Tasks

Tasks	Inference	Training
Text Generation	✔	✔
Text Classification	✔	✔
Word Prediction	✔	✔
Question Answering	✔	✔
Text-to-Text	✔	✔
Next Sentence Prediction	✔
Token Classification	✔

Quick Start

pip install happytransformer


from happytransformer import HappyWordPrediction
#--------------------------------------#
happy_wp = HappyWordPrediction()  # default uses distilbert-base-uncased
result = happy_wp.predict_mask("I think therefore I [MASK]")
print(result)  # [WordPredictionResult(token='am', score=0.10172799974679947)]
print(result[0].token)  # am

Maintainers

Eric Fillion Lead Maintainer
Ted Brownlow Maintainer

Tutorials

Text generation with training (GPT-Neo)

Text classification (training)

Text classification (hate speech detection)

Text classification (sentiment analysis)

Word prediction with training (DistilBERT, RoBERTa)

Top T5 Models

Grammar Correction

Fine-tune a Grammar Correction Model

happytransformer dependencies

accelerate dataclasses datasets protobuf sentencepiece tokenizers torch tqdm transformers wandb

FAQs

What is happytransformer?

Happy Transformer makes it easy to fine-tune NLP Transformer models and use them for inference. Visit Snyk Advisor to see a full health score report for happytransformer, including popularity, security, maintenance & community analysis.

Is happytransformer popular?

The python package happytransformer receives a total of 1,123 weekly downloads. As such, happytransformer popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is happytransformer well maintained?

We found indications that happytransformer is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is happytransformer safe to use?

While scanning the latest version of happytransformer, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 November-2024, at 08:22 (UTC).

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