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模型:
helenai/papluca-xlm-roberta-base-language-detection-ov
英文papluca/xlm-roberta-base-language-detection
这是将模型转换为 OpenVINO ，以加快推理速度的 papluca/xlm-roberta-base-language-detection 模型。
如下是对该模型进行推断的示例：
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)