papluca/xlm-roberta-base-language-detection

This is the papluca/xlm-roberta-base-language-detection model converted to OpenVINO , for accellerated inference.

An example of how to do inference on this model:

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)