# gliner2-multi-v1 — INT8 ONNX (CPU)

Dynamically-quantized INT8 ONNX export of `fastino/gliner2-multi-v1`.
This bundle contains **only** the INT8 graphs — load it with `precision="int8"`.

```python
from gliner2_onnx import GLiNER2ONNXRuntime

rt = GLiNER2ONNXRuntime(
    "gliner2-multi-v1-int8",          # this folder
    precision="int8",                  # required: no fp32 graphs are included
    providers=["CPUExecutionProvider"],
)

rt.extract_entities("pagamento polizza tfr A4983AS", ["amount", "reference_number"])
rt.classify("acquisto gasolio automezzi", ["carburanti", "polizze"], multi_label=True)
```

For best CPU throughput set intra-op threads to your physical core count via ORT
`SessionOptions`.

## Contents
- `gliner2_config.json` — model config, references the INT8 graphs only
- `config.json`, `tokenizer.json`, `tokenizer_config.json`
- `onnx/*_int8.onnx` — encoder / classifier / span_rep / count_embed