erc-classifiers safetensors download (440 MB) | Hugging Bay

Q: What is this model?

SIRIS-Lab/erc-classifiers is an open-weights language model for text classification published by SIRIS-Lab, added to Hugging Bay Oct 1, 2026. Model from Hugging Face for text classification: SIRIS-Lab/erc-classifiers · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 5 files, 440.5 MB. Full repo upstream: 440.7 MB. The recommended download, model.safetensors, is 439.8 MB.

Q: What can I download here?

Hosted here: 5 files, 440.5 MB. Full repo upstream: 440.7 MB. The original release is at https://huggingface.co/SIRIS-Lab/erc-classifiers.

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-siris-lab-erc-classifiers/safety on Hugging Bay.

Q: Will SIRIS-Lab/erc-classifiers 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.

SIRIS-Lab

erc-classifiers

SIRIS-Lab/erc-classifiers

text classificationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for text classification: SIRIS-Lab/erc-classifiers · transformers

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erc-classifiers

Machine-readable artifact endpoints

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