xlm-roberta-base-language-detection
This model is a fine-tuned version of xlm-roberta-base on the Language Identification dataset.
Params
280 M
Context
512
Downloads 30d
687 K
Likes
375
Download history
daily snapshots · 10 days692 K643 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.
| File | Quant | Size | Est. VRAM | Verdict 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
- XLMRobertaForSequenceClassification
- Parameters
- 280 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 250,002
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2022-03-02
- Training datasets
- papluca/language-identification
- Added to our catalog
- 2026-07-28
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