bert-ner-demo
Riprobot/bert-ner-demoContent controls: not assessed.
Model from Hugging Face for token classification: Riprobot/bert-ner-demo · transformers
Informations sur le modèle
bert-ner-demo is an open-weights language model for token classification. The primary file is model.safetensors (133 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is 2ddf861fbdf8. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. 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. The size line uses recorded file bytes when they are present in this model record.
Contenu inclus
5 hosted of 10 listed
À propos de ce modèle
External Hugging Face catalog record for Riprobot/bert-ner-demo. Task: token classification. Library: transformers. Base model: BAAI/bge-small-en-v1.5. Popularity signal at import: 123 downloads and 0 likes.
Informations clés
- Hosted here
- 5 hosted of 10 listed
- Full repo upstream
- 133.9 MB
- Recommended file
- 132.9 MB · model.safetensors
- Format
- safetensors · BIN
- Downloads on Hugging Face
- 123
- File hashes
- Hashes recorded. Date not recorded.
Licence et source
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- token classification
- Hosted here
- 5 files, 133.6 MB
- Full repo upstream
- 133.9 MB
- Recommended file
- 132.9 MB · model.safetensors
- Files
- 5 hosted of 10 listed
- Download
- Download here (5 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- Riprobot/bert-ner-demo
FAQ
What is this model?
Riprobot/bert-ner-demo is an open-weights language model for token classification published by Riprobot, added to Hugging Bay Sep 27, 2026. Model from Hugging Face for token classification: Riprobot/bert-ner-demo · transformers
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.
How big is it?
Hosted here: 5 files, 133.6 MB. Full repo upstream: 133.9 MB. The recommended download, model.safetensors, is 132.9 MB.
What can I download here?
Hosted here: 5 files, 133.6 MB. Full repo upstream: 133.9 MB. The original release is at https://huggingface.co/Riprobot/bert-ner-demo.
File checks and computer fit
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-riprobot-bert-ner-demo/safety on Hugging Bay.
Will Riprobot/bert-ner-demo 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.