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instruction-ner

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0.1.6 instruction_ner-0.1.6-py3-none-any.whl

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Project: instruction-ner
Version: 0.1.6
Filename: instruction_ner-0.1.6-py3-none-any.whl
Download: [link]
Size: 30932
MD5: ef461e6a8adcde5fba4bd8f17bea6929
SHA256: fb966a762d480cafc82a3ca9078973a2ad0fa84bd996334b3c7b1403bcaf1500
Uploaded: 2023-05-07 16:31:08 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: instruction-ner
Version: 0.1.6
Summary: Unofficial implementation of InstructionNER
Author: Olga Bystrova
Author-Email: bystrovaolgavl[at]gmail.com
Home-Page: https://github.com/ovbystrova/InstructionNER
Keywords: python,nlp,deep learning,ner,t5
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Requires-Dist: dataclasses (==0.6)
Requires-Dist: openpyxl (==3.0.10)
Requires-Dist: pandas (==1.4.3)
Requires-Dist: pyyaml (==6.0)
Requires-Dist: SentencePiece (==0.1.96)
Requires-Dist: scikit-learn (==1.1.2)
Requires-Dist: torch (==1.13.1)
Requires-Dist: tensorboard (==2.9.1)
Requires-Dist: tokenizers (==0.13.2)
Requires-Dist: transformers (==4.27.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5712 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
instruction_ner/__init__.py sha256=n3oM6B_EMz93NsTI18NNZd-jKFcUPzUkbIKj5VFK5ok 22
instruction_ner/arg_parse.py sha256=BxHZv5tVO0BzkAHuv6nAk_hYFg8z2nAPOYoaaBLqjHs 3096
instruction_ner/collator.py sha256=2Uh0lI2XvHM_UjOuqLi3cEu7R4eZ__U7F_ybGFreWTE 1294
instruction_ner/dataset.py sha256=9h3XEHNCuFfj_AJn7Bn2qrlIAiQLJ8C3ETade4OhL9o 3575
instruction_ner/evaluate.py sha256=VHaKJUobhTr0TnS_ATOfs5exFqSxtCO81nHe-UgW1eg 1936
instruction_ner/metrics.py sha256=AR8r9YhaSDy1cH6hiz2D65-RTVUAjSML3Rp4iOnhgZo 9852
instruction_ner/model.py sha256=RzL3eUBjxVZqtg8C4AAJXq0qpM0sTPqjH6cp1ffKo64 2009
instruction_ner/prepare_data.py sha256=jSHnM7Icqjl-JAVShnXJjnyLaHvEaXbOjfhB_9J8pu0 1205
instruction_ner/train.py sha256=gmYEKwFgAQJZpJd4Xy9C3fs_lctw6Qqkx7j3Fqps2EQ 4297
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instruction_ner/formatters/Answer.py sha256=UFRI9iamwuFPqt9egFYl5m_QT_q-SppnmVShZdF3xw8 2183
instruction_ner/formatters/PredictionSpan.py sha256=Avs0-zmERH0QIEIneX8DxzkBWRtQwCEWrQD4sAi-y7Y 2630
instruction_ner/formatters/__init__.py sha256=TIJcSkywyN2XAG7AKPD4cSOWXJ_aeimX9AIt7dMkMXY 478
instruction_ner/formatters/instances/EntityExtractTask.py sha256=xUrs333eeVFLOkFwhCY3Gw2gfWvIuxKcCuhGWyezWqA 1333
instruction_ner/formatters/instances/EntityTypeTask.py sha256=m1HX9kA_OJ8iymOviv-O4HcVN_l1h3FCnmC-QZrRrgc 1621
instruction_ner/formatters/instances/NERTask.py sha256=lEhPZp1s8DLsHXkO8yJHFFRcBIQc4muDhIbe0VkUZoA 1356
instruction_ner/formatters/instances/__init__.py sha256=7SEziCFJSJLgH_LBr6YkP5DD2Yi8R9ZdIy35TJi0idM 954
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instruction_ner/readers/mit.py sha256=BIPClIVPhV78QWC8eAHPbdGho1wN0wMNH0bCncNQRlA 5561
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instruction_ner/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
instruction_ner/utils/evaluate_utils.py sha256=J-kOCsE4ViYXN7xISZN_lBiz4dDV03jxEUYuB8zgmb8 6146
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instruction_ner/utils/utils.py sha256=fj7eGULmU2IoO5Z8tbLJjPZzlKuO3OAjhnOJchLJ_Pc 1820
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instruction_ner-0.1.6.dist-info/entry_points.txt sha256=pVgHcPVKb2iUNLNPRPfP02Wy-ZoxBRRgO7aTRzXfM1s 191
instruction_ner-0.1.6.dist-info/top_level.txt sha256=vDwa2OUvSSONyeKTFynKT_lJGTj_rr9-RLNpIomWnnw 16
instruction_ner-0.1.6.dist-info/RECORD — —

top_level.txt

instruction_ner

entry_points.txt

[console_scripts]
instruction_ner-evaluate = instruction_ner.evaluate:main
instruction_ner-prepare-data = instruction_ner.prepare_data:main
instruction_ner-train = instruction_ner.train:main