metadata

language:
  - en
tags:
  - openvino

deepset/xlm-roberta-base-squad2

This is the deepset/xlm-roberta-base-squad2 model converted to OpenVINO, for accellerated inference.

An example of how to do inference on this model:

from optimum.intel.openvino import OVModelForQuestionAnswering
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/deepset-xlm-roberta-base-squad2-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForQuestionAnswering.from_pretrained(model_id)
pipe = pipeline("question-answering", model=model, tokenizer=tokenizer)
result = pipe("What is OpenVINO?", "OpenVINO is a framework that accelerates deep learning inferencing")
print(result)