This is a basic inference BERT model which has been fine-tuned to discriminate between covid19 and non-covid-19 relevant texts.

Unlike past models I have created this one raw and uploaded it as a standalone git repo to experiment with upload options. Not as streamlined as using the Huggingface card generation system but definitely simpler to do.

This is also my first experiment with ONNX.

• The dataset came from Thiago Martins: https://github.com/thigm85

Training data can be obtained as follows:

import pandas as pd

training_data = pd.read_csv("https://thigm85.github.io/data/cord19/cord19-query-title-label.csv")
training_data.head()

Please do not use this for any clinical/applied purpose. It is a toy app only.