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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