privacy-filter-nemotron-v2-ONNX
nisten/privacy-filter-nemotron-v2-ONNXContent controls: not assessed.
Model from Hugging Face for token classification: nisten/privacy-filter-nemotron-v2-ONNX · transformers.js
Informações do modelo
privacy-filter-nemotron-v2-ONNX is an open-weights language model for token classification. The primary file is model.safetensors (2.8 GB). The primary file needs about 4 GB free for the selected file. License: unknown. The SHA-256 prefix is e27b99207fcc. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
O que está incluído
4 hosted of 27 listed
Sobre este modelo
External Hugging Face catalog record for nisten/privacy-filter-nemotron-v2-ONNX. Task: token classification. Library: transformers.js. Base model: OpenMed/privacy-filter-nemotron-v2. Popularity signal at import: 66 downloads and 1 likes.
Informações básicas
- Hosted here
- 4 hosted of 27 listed
- Full repo upstream
- 15.8 GB
- Recommended file
- 2.8 GB · model.safetensors
- Format
- safetensors · ONNX
- Downloads on Hugging Face
- 66
- File hashes
- Hashes recorded. Date not recorded.
Licença e origem
License: unknown
No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.
- License
- unknown
- Task
- token classification
- Hosted here
- at least 4 listed files; full count and size unknown
- Full repo upstream
- 15.8 GB
- Recommended file
- 2.8 GB · model.safetensors
- Files
- 4 hosted of 27 listed
- Download
- Download here (4 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- nisten/privacy-filter-nemotron-v2-ONNX
FAQ
What is this model?
nisten/privacy-filter-nemotron-v2-ONNX is an open-weights language model for token classification published by nisten, added to Hugging Bay Sep 19, 2026. Model from Hugging Face for token classification: nisten/privacy-filter-nemotron-v2-ONNX · transformers.js
Can I use it commercially?
License: unknown. Check the upstream license text or ask the model author before commercial use.
How big is it?
Hosted here: at least 4 listed files; full count and size unknown. Full repo upstream: 15.8 GB. The recommended download, model.safetensors, is 2.8 GB.
What can I download here?
Hosted here: at least 4 listed files; full count and size unknown. Full repo upstream: 15.8 GB.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nisten-privacy-filter-nemotron-v2-onnx/safety on Hugging Bay.
Will nisten/privacy-filter-nemotron-v2-ONNX 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.
Repack of openmed/privacy-filter-nemotron-v2 (from the publisher card on Hugging Face). This does not mean the files match the original weights.