dslim / token-classification updated 1 year ago

distilbert-NER

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Params
70 M
Context
512
Downloads 30d
237 K
Likes
52
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
247 K237 K
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.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f32 0.3 GB 0.8 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
DistilBertForTokenClassification
Parameters
70 M
Tensor type
F32
Context length
512
Vocabulary
28,996
Licence
apache-2.0
First seen on the Hub
2024-01-25
Training datasets
conll2003
Added to our catalog
2026-07-28