dslim / token-classification updated 1 year ago

bert-base-NER

Name: bert-base-NER
Author: dslim

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Params

110 M

Context

512

Downloads 30d

1.3 M

Likes

726

Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.4 M1.3 M

Jul 28Jul 31Aug 3Aug 6

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

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