multilingual-IPTC-news-topic-classifier download

Q: What is this model?

classla/multilingual-IPTC-news-topic-classifier is an open-weights language model for text classification published by classla, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for text classification: classla/multilingual-IPTC-news-topic-classifier · unknown

Q: Can I use it commercially?

It is released under the cc-by-sa-4.0 license. Commercial use is allowed with conditions. cc-by-sa-4.0: commercial use is permitted with attribution; adaptations must use the same or a permitted compatible license.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 2.26 GB. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 2.26 GB. The original release is at https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-classla-multilingual-iptc-news-topic-classifier/safety on Hugging Bay.

Q: Will classla/multilingual-IPTC-news-topic-classifier run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

classla

multilingual-IPTC-news-topic-classifier

classla/multilingual-IPTC-news-topic-classifier

Model details

text classificationLicense: cc-by-sa-4.0SHA-256 recorded for 7 of 10 filessafetensors · BIN

Content controls: not assessed.

Listed for labeling text; for developers building text classifiers. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-classla-multilingual-iptc-news-topic-classifier/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

5 hosted of 10 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors2.24 GB · 1 file Download · 2.24 GB (1 file)

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Content controls: not assessed.

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Machine-readable artifact endpoints

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multilingual-IPTC-news-topic-classifier

Machine-readable artifact endpoints

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