Davlan / token-classification updated 2 years ago

xlm-roberta-base-ner-hrl

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Params
280 M
Context
512
Downloads 30d
307 K
Likes
28
Commercial use: allowed afl-3.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days
307 K277 K
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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 1.1 GB 1.8 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
XLMRobertaForTokenClassification
Parameters
280 M
Tensor type
F32
Context length
512
Vocabulary
250,002
Layers / heads
12 / 12
Licence
afl-3.0
First seen on the Hub
2022-03-02
Training datasets
undisclosed
Added to our catalog
2026-07-28