Detoxify Files

Trained models & code to predict toxic comments

This is an exact mirror of the Detoxify project, hosted at https://github.com/unitaryai/detoxify. SourceForge is not affiliated with Detoxify.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2026-03-26	481 Bytes	0
v0.5.3 source code.tar.gz	2026-03-26	236.0 kB	0
v0.5.3 source code.zip	2026-03-26	250.5 kB	0
Totals: 3 Items		487.0 kB	0

What's Changed

Fix compatibility with PyTorch 2.11.0:
Add trust_repo=True to torch.hub.load() and torch.hub.list() calls (PyTorch 2.11 changed the default from None to "check", breaking non-interactive usage)
Explicitly pass weights_only=False to torch.hub.load_state_dict_from_url() and torch.load() since checkpoints contain config dicts alongside weights
Use Python 3.12 for pyright CI workflow (compatible with requires-python = ">=3.9,<3.13")

Source: README.md, updated 2026-03-26

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Algerian Dialect Toxicity Speech Dataset
* To cite this dataset refer to http://dx.doi.org/10.12785/ijcds/130177 Mazari, A. C., & Kheddar, H. (2023). "Deep Learning-based Analysis of Algerian Dialect Dataset Targeted Hate Speech, Offensive Language and Cyberbullying." IJCDS, 13(1). * Due to the nature of this Dataset, comments contain offensiveness and hate speech. This does not reflect author values, however the aim is to providing a resource to help in detecting and preventing spread of such harmful content.