File size: 1,037 Bytes
e2e6fbc 7ab0e44 e2e6fbc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
language:
- it
license: mit
widget:
- text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
example_title: Example 1
- text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
example_title: Example 2
base_model: nickprock/bert-italian-finetuned-ner
pipeline_tag: token-classification
---
# Bert Italian NER ONNX avx512
This model is the onnx version of nickprock/bert-italian-finetuned-ner.
To use you need to intall following libraries:
```bash
pip install optimum onnxruntime onnx
```
And run with the following script:
```python
import time
from transformers import AutoTokenizer, pipeline
from optimum.onnxruntime import ORTModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("z-uo/bert-italian-ner-onnx-quantized-avx512")
model = ORTModelForTokenClassification.from_pretrained("z-uo/bert-italian-ner-onnx-quantized-avx512")
nerpipeline = pipeline('ner', model=model, tokenizer=tokenizer)
text = "La sede storica della Olivetti è ad Ivrea"
output = nerpipeline(text)
``` |