bert-large-NER
dslim/bert-large-NERContent controls: not assessed.
Model from Hugging Face for token classification: dslim/bert-large-NER · transformers
Informações do modelo
bert-large-NER is an open-weights language model for token classification. The primary file is model.safetensors (1.33 GB). The primary file needs about 3 GB free for the selected file. License: MIT. The SHA-256 prefix is 81d6a7a3967f. 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.
O que está incluído
11 hosted of 17 listed
Sobre este modelo
External Hugging Face catalog record for dslim/bert-large-NER. Task: token classification. Library: transformers. Languages: en. Datasets referenced by card metadata: conll2003. Includes 5 model-card evaluation signals. Popularity signal at import: 138,158 downloads and 163 likes.
Informações básicas
- Hosted here
- 11 hosted of 17 listed
- Full repo upstream
- 6.67 GB
- Recommended file
- 1.33 GB · model.safetensors
- Languages
- en
- Format
- safetensors · ONNX · BIN · H5
- Downloads on Hugging Face
- 144,793
- File hashes
- Hashes recorded. Date not recorded.
Licença e origem
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
- at least 11 listed files; full count and size unknown
- Full repo upstream
- 6.67 GB
- Recommended file
- 1.33 GB · model.safetensors
- Files
- 11 hosted of 17 listed
- Download
- Download here (11 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- dslim/bert-large-NER
FAQ
What is this model?
dslim/bert-large-NER is an open-weights language model for token classification published by dslim, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for token classification: dslim/bert-large-NER · 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: at least 11 listed files; full count and size unknown. Full repo upstream: 6.67 GB. The recommended download, model.safetensors, is 1.33 GB.
What can I download here?
Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 6.67 GB. The original release is at https://huggingface.co/dslim/bert-large-NER.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-dslim-bert-large-ner/safety on Hugging Bay.
Will dslim/bert-large-NER 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.