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

Model details

text classificationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

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

View as JSON →

Your next step

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-siris-lab-erc-classifiers/model.safetensors",
    "model.safetensors",
)

Other ways

5 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors440 MB · 1 file Download · 440 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

This check proves the file arrived unchanged.

Signed by the harbor

5 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	439.8 MB	`460479fc…b68e39fd` `460479fca2a5f7a821d98ede2c80792d168116c96f2dacbc697f3f61b68e39fd`	Hosted	Télécharger
Tokenizer & config
`config.json`	3.5 KB	`d96ae0dd…7796756f` `d96ae0dd495843c3731f3a1336aa532f196af5bb8a0ce1a84925fa317796756f`	Hosted	Télécharger
`special_tokens_map.json`	695 bytes	`5d5b662e…a350503a` `5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a`	Hosted	Télécharger
`tokenizer.json`	717.1 KB	`472119ca…f1cef257` `472119caa682bec9c9592facc5c6d0ebeef75acc304b4b5a50169299f1cef257`	Hosted	Télécharger
`tokenizer_config.json`	1.3 KB	`3793b5c8…3cb8b2d9` `3793b5c88a07c8ba1be3b0b17ed73ee2095a44ad21adbb0acaa859b53cb8b2d9`	Hosted	Télécharger
`vocab.txt`	227.8 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	9.35 KB	—	Upstream only	File metadata

Vérifier un téléchargement

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

erc-classifiers

Vérifier un téléchargement

Cookies