roberta-base-openai-detector download | Hugging Bay

Q: What is this model?

openai-community/roberta-base-openai-detector is an open-weights language model for text classification published by openai-community, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text classification: openai-community/roberta-base-openai-detector · transformers

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: 2 GB. The recommended download, model.safetensors, is 501 MB.

Q: What can I download here?

Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: 2 GB. The original release is at https://huggingface.co/openai-community/roberta-base-openai-detector.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-openai-community-roberta-base-openai-detector/safety on Hugging Bay.

Q: Will openai-community/roberta-base-openai-detector 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.

openai-community

roberta-base-openai-detector

openai-community/roberta-base-openai-detector

Model details

text classificationLicense: mitSHA-256 recorded for 10 of 11 filessafetensors · BIN · H5

Content controls: not assessed.

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

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-openai-community-roberta-base-openai-detector/model.safetensors",
    "model.safetensors",
)

Other ways

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

9 hosted of 11 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors501 MB · 1 file Download · 501 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.