# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("roshnir/bert-multi-uncased-trained-squadv2")
model = AutoModelForQuestionAnswering.from_pretrained("roshnir/bert-multi-uncased-trained-squadv2")Quick Links
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Check out the documentation for more information.
mBERT base uncased model trained on 50% SQUAD data. This model can further be used to fine-tune using dev data for QA system on a specific language. The process is similar to what was followed in MLQA paper[https://aclanthology.org/2020.acl-main.421.pdf].
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="roshnir/bert-multi-uncased-trained-squadv2")