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)
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This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Dataset used to train aware-ai/mobilebert-squadv2