First, you need to download and unzip our trained model from the url link (https://drive.google.com/file/d/122Ftii3urzy3MZsWgWENWhdEzuvSxiWu/view)

Then, you can install dependencies by running the following command in the current directory:
	
	pip install --editable .


The processed test data are stored in the `data/` directory. Assuming that the model is stored in the `model/` directory, you can evalute it by the following commands:

	# Evaluation on the SIGHAN 15 test set
	python src/test.py -d model/ -y 15
	
	# Evaluation on the SIGHAN 14 test set
	python src/test.py -d model/ -y 14
	
	# Evaluation on the SIGHAN 13 test set
	python src/test.py -d model/ -y 13


Note: If the above commands raise the error of `libstdc++.so.6: version `GLIBCXX_3.4.20' not found`, please refer to the issue comment (https://github.com/BVLC/caffe/issues/4953#issuecomment-661335910).
