Simba-S safetensors download | Hugging Bay

Q: What is this model?

UBC-NLP/Simba-S is an open-weights audio model for speech recognition published by UBC-NLP, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for automatic speech recognition: UBC-NLP/Simba-S · transformers

Q: Can I use it commercially?

It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution.

Q: How big is it?

Hosted here: 12 files, 6.05 GB. Full repo upstream: 6.05 GB. The recommended download, a 2-file weight set, is 6.01 GB.

Q: What can I download here?

Hosted here: 12 files, 6.05 GB. Full repo upstream: 6.05 GB. The original release is at https://huggingface.co/UBC-NLP/Simba-S.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ubc-nlp-simba-s/safety on Hugging Bay.

Q: Will UBC-NLP/Simba-S 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.

UBC-NLP

Simba-S

UBC-NLP/Simba-S

Model details

speech recognitionLicense: cc-by-4.0SHA-256 recorded for 12 of 13 filessafetensors

Content controls: not assessed.

The catalog lists this model for transcribing speech. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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