test
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@ -10,7 +10,7 @@ from torch.utils.data import DataLoader
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from transformers import AutoConfig, AutoModel, AutoTokenizer
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from transformers.optimization import AdamW, get_linear_schedule_with_warmup
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from deepkeredoc import *
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from deepke.relation_extraction.document import *
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def report(args, model, features):
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@ -10,7 +10,7 @@ from torch.utils.data import DataLoader
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from transformers import AutoConfig, AutoModel, AutoTokenizer
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from transformers.optimization import AdamW, get_linear_schedule_with_warmup
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from deepkeredoc import *
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from deepke.relation_extraction.document import *
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def train(args, model, train_features, dev_features, test_features):
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@ -13,7 +13,7 @@ from transformers.optimization import get_linear_schedule_with_warmup
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import os
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from tqdm import tqdm
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from deepkerefew import *
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from deepke.relation_extraction.few_shot import *
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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@ -13,7 +13,7 @@ from transformers.optimization import get_linear_schedule_with_warmup
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import os
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from tqdm import tqdm
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from deepkerefew import *
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from deepke.relation_extraction.few_shot import *
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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8
setup.py
8
setup.py
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@ -1,11 +1,11 @@
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from setuptools import setup, find_packages
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setup(
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name='deepke', # 打包后的包文件名
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version='0.2.79', #版本号
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version='0.2.82', #版本号
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keywords=["pip", "RE","NER","AE"], # 关键字
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description='DeepKE 是基于 Pytorch 的深度学习中文关系抽取处理套件。', # 说明
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long_description="client", #详细说明
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license="Apache-2.0 License", # 许可
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license="MIT", # 许可
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url='https://github.com/zjunlp/deepke',
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author='ZJUNLP',
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author_email='xx2020@zju.edu.cn',
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@ -25,7 +25,9 @@ setup(
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'pytorch-transformers==1.2.0',
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'seqeval==1.2.2',
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'tqdm==4.60.0',
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'nltk==3.6.3'
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'nltk==3.6.3',
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'opt-einsum==3.3.0',
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"ujson"
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],
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classifiers=[
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"Programming Language :: Python :: 3",
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@ -1 +1,3 @@
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from .standard import *
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from .document import *
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from .few_shot import *
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@ -1,2 +0,0 @@
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from .transformer import *
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from .base import BaseLitModel
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@ -0,0 +1,3 @@
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from .transformer import *
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from .base import BaseLitModel
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from .util import *
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