
# papluca/xlm-roberta-base-language-detection

This is the [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.

An example of how to do inference on this model:
```python
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)
```


{"language": ["en"], "tags": ["openvino"]}
transformers openvino xlm-roberta text-classification en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #openvino #xlm-roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 


# 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:



# 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:
TAGS
#transformers #openvino #xlm-roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
 # 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:
TAGS
#transformers #openvino #xlm-roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
# 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: