Steps for pre-trained REALM models

I have a question regarding the demo which was also mentioned in issue #67 . I have executed the following lines.

`git clone https://github.com/google-research/language
cd language`

`conda create --name orqa python=3.7
source activate orqa
pip install -r language/orqa/requirements.txt`

`conda create --name orqa python=3.7
source activate orqa
pip install -r language/orqa/requirements.txt`

`python -m language.orqa.utils.scann_utils_test`

`git clone https://github.com/facebookresearch/DrQA.git
cd DrQA
export DRQA_PATH=$(pwd)
sh download.sh`

After installing the gsutil, do I have to execute the following lines?

`mkdir original_nq
gsutil -m cp -R gs://natural_questions/v1.0 original_nq
cd original_nq
export ORIG_NQ_PATH=$(pwd)`

The data is 45Gb and I do not have the space.
Or do i change it to "gsutil -m cp -R gs://realm-data/orqa_nq_model_from_realm" ?

or simply will suffice ?

`python -m language.orqa.predict.orqa_demo \
--model_dir=gs://orqa-data/orqa_nq_model \
--port=8080`