inclusively-classification
This model is an Italian classification model fine-tuned from the Italian BERT model for the classification of inclusive language in Italian.
Params
110 M
Context
512
Downloads 30d
521 K
Likes
1
Download history
daily snapshots · 10 days539 K521 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 | 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
- BertForSequenceClassification
- Parameters
- 110 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 32,102
- Layers / heads
- 12 / 12
- Licence
- cc-by-nc-sa-4.0
- First seen on the Hub
- 2023-06-23
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.