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added python download script and modified requirements to add the modules needed. Tested in Windows Version 10.0.17134 Build 17134 and Ubuntu 18.04.1 LTS
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#!/usr/bin/env python | ||
import os | ||
import sys | ||
import requests | ||
from tqdm import tqdm | ||
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if len(sys.argv)!=2: | ||
print('You must enter the model name as a parameter, e.g.: download_model.py 117M') | ||
sys.exit(1) | ||
model = sys.argv[1] | ||
#Create directory if it does not exist already, then do nothing | ||
if not os.path.exists('models/'+model): | ||
os.makedirs('models/'+model) | ||
#download all the files | ||
for filename in ['checkpoint','encoder.json','hparams.json','model.ckpt.data-00000-of-00001', 'model.ckpt.index', 'model.ckpt.meta', 'vocab.bpe']: | ||
r = requests.get("https://storage.googleapis.com/gpt-2/models/"+model+"/"+filename,stream=True) | ||
#wb flag required for windows | ||
with open('models/'+model+'/'+filename,'wb') as currentFile: | ||
fileSize = int(r.headers["content-length"]) | ||
with tqdm(ncols=100,desc="Fetching "+filename,total=fileSize,unit_scale=True) as pbar: | ||
#went for 1k for chunk_size. Motivation -> Ethernet packet size is around 1500 bytes. | ||
for chunk in r.iter_content(chunk_size=1000): | ||
currentFile.write(chunk) | ||
pbar.update(1000) |
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fire>=0.1.3 | ||
regex==2017.4.5 | ||
requests==2.21.0 | ||
tqdm==4.31.1 |