metadata

datasets:
  - squad_v2
language:
  - en
library_name: transformers
pipeline_tag: question-answering

Mobile-Bert fine-tuned on Squad V2 dataset

This is based on mobile bert architecture suitable for handy devices or device with low resources.

usage

using transformers library first load model and Tokenizer

from transformers import AutoModelForQuestionAnswering,  AutoTokenizer, pipeline

model_name = "aware-ai/mobilebert-squadv2"

model = AutoModelForQuestionAnswering.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

use question answering pipeline

qa_engine = pipeline('question-answering', model=model, tokenizer=tokenizer)
QA_input = {
    'question': 'your question?',
    'context': '. your context ................ '
}
res = qa_engine (QA_input)