| from optimum.intel.openvino import OVModelForSequenceClassification | |
| from transformers import AutoTokenizer, pipeline | |
| # model_id should be set to either a local directory or a model available on the HuggingFace hub. | |
| model_id = "helenai/papluca-xlm-roberta-base-language-detection-ov" | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = OVModelForSequenceClassification.from_pretrained(model_id) | |
| pipe = pipeline("text-classification", model=model, tokenizer=tokenizer) | |
| result = pipe("hello world") | |
| print(result) | |