metadata
license: apache-2.0
Int-8 dynamic quantized version of (VMware/tinyroberta-mrqa)[https://huggingface.co/VMware/tinyroberta-mrqa].
from optimum.onnxruntime import ORTModelForQuestionAnswering
from transformers import pipeline, AutoTokenizer
model_name = 'VMware/tinyroberta-quantized-mrqa'
tokenizer = AutoTokenizer.from_pretrained(model_name)
quantized_model = ORTModelForQuestionAnswering.from_pretrained(model_name, file_name="model_quantize.onnx")
qa_model = pipeline('question-answering', model=quantized_model, tokenizer=tokenizer)
qa_input = {
'question': '',
'context': ''
}
qa_answers = qa_model(qa_input)