madlag-albert-base-v2-squad-ov

madlag/albert-base-v2-squad

This is the madlag/albert-base-v2-squad 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/madlag-albert-base-v2-squad-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)