bert-base-uncased

This is the bert-base-uncased model converted to OpenVINO , for accellerated inference.

An example of how to do inference on this model:

from optimum.intel.openvino import OVModelForMaskedLM
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/bert-base-uncased-ov-fp32"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForMaskedLM.from_pretrained(model_id)
pipe = pipeline("fill-mask", model=model, tokenizer=tokenizer)
result = pipe("I am a [MASK] model")
print(result)