Simba-S
UBC-NLP/Simba-SContent controls: not assessed.
Model from Hugging Face for automatic speech recognition: UBC-NLP/Simba-S · transformers
Enthaltene Dateien
12 hosted of 13 listed
Über dieses Modell
External Hugging Face catalog record for UBC-NLP/Simba-S. Task: automatic speech recognition. Library: transformers. Languages: am, ar, tw, bm, fr, lg, ha, ig. Datasets referenced by card metadata: UBC-NLP/SimbaBench. Popularity signal at import: 208 downloads and 4 likes.
Kurzinfo
- Hosted here
- 12 hosted of 13 listed
- Full repo upstream
- 6.05 GB
- Recommended file
- 6.01 GB (2 files)
- Languages
- am, ar, tw, bm, fr, lg, ha, ig, rw, kg, ln, lu
- Format
- safetensors
- Downloads on Hugging Face
- 161
- File hashes
- Hashes recorded. Date not recorded.
Lizenz und Quelle
License: cc-by-4.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- speech recognition
- Hosted here
- 12 files, 6.05 GB
- Full repo upstream
- 6.05 GB
- Recommended file
- 6.01 GB (2 files)
- Files
- 12 hosted of 13 listed
- Download
- Download here (12 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- UBC-NLP/Simba-S
FAQ
What is this model?
UBC-NLP/Simba-S is an 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
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.
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.
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.
File checks and computer fit
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.
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.