bert-base-NER
If my open source models have been useful to you, please consider supporting me in building small, useful AI models for everyone (and help me afford med school / help out my parents financially). Thanks!
Params
110 M
Context
512
Downloads 30d
1.4 M
Likes
734
Download history
daily snapshots · 55 days
▲ 514 K in the last 30 days (26.8%)
2.1 M1.4 M
Aug 22Sep 1Sep 11Sep 20
2.1 M1.2 M
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.4 GB | 1.0 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- BertForTokenClassification
- Parameters
- 110 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 28,996
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2022-03-02
- Training datasets
- conll2003
- conll2003 (reported)
- 0.48325642943382
- Added to our catalog
- 2026-07-28
Compare with any token-classification model