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callbackable-sentence-transformers

v2024.0.0

A simple package to add a new parameter for the SentenceTransformer class For more information about how to use this package see README

Latest version published 8 months ago

License: MIT License Copyright (c) 20…

PyPI

Package Health Score

50 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Limited

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Popularity

Limited

GitHub Stars: ?
Forks: ?
Contributors: -

Direct Usage Popularity

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Security

No known security issues

Security and license risk for latest version

Release Date: Apr 17, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT License Copyright (c) 2024 Cyrille Siouffi Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Security Policy

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Maintenance

Inactive

Commit Frequency

Unavailable commit data

Open Issues: ?
Open PR: ?
Last Release: 8 months ago
Last Commit: unknown

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

We found that callbackable-sentence-transformers demonstrates a positive version release cadence with at least one new version released in the past 12 months.

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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 8 months
Latest Release: 8 months ago
Dependencies: 4 Direct
Versions: 1
Maintainers: 0
Wheels: OS Independent

Readme

Callbackable Sentence Transformers

A simple class to replace the SentenceTransformer class from sentence_transformers package.

It adds a simple parameter callback_during_training to the SentenceTransformer.fit() function be able to get the loss value of the SentenceTransformer during training.

from callbackable_sentence_transformers import CallbackableSentenceTransformer

model = CallbackableSentenceTransformer(model_checkpoint)

def callback(loss, epoch, step):
    print(f"Loss at epoch {epoch}, {step}: {loss}")

model.fit(..., callback_during_training=callback)

callbackable-sentence-transformers dependencies

sentence-transformers torch tqdm transformers

FAQs

What is callbackable-sentence-transformers?

A simple package to add a new parameter for the SentenceTransformer class. Visit Snyk Advisor to see a full health score report for callbackable-sentence-transformers, including popularity, security, maintenance & community analysis.

Is callbackable-sentence-transformers popular?

We’re still processing downloads data for the python package callbackable-sentence-transformers. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is callbackable-sentence-transformers safe to use?

The python package callbackable-sentence-transformers was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 15 December-2024, at 09:54 (UTC).

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