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auto-ner

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0.1.2 auto_ner-0.1.2-py3-none-any.whl

Wheel Details

Project: auto-ner
Version: 0.1.2
Filename: auto_ner-0.1.2-py3-none-any.whl
Download: [link]
Size: 8506
MD5: 5b51a33caa731cf676dc4f45698c21b8
SHA256: 96d3ed6226012e5de02b860c2e8e570682459c740b75209c91e9bab0b1e3cee2
Uploaded: 2023-09-18 09:39:27 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: auto-ner
Version: 0.1.2
Summary: End to End application for named entity recognition. Highlights: 1. Powerd by GenAi 2. Few shot Learning 3. Training and inference pipelines
Author: Sudhir Arvind Deshmukh
Home-Page: https://github.com/bokey007/auto_ner
Requires-Dist: matplotlib (==3.6.0)
Requires-Dist: pandas (==1.5.3)
Requires-Dist: scikit-learn (==1.3.0)
Requires-Dist: spacy (==3.6.1)
Requires-Dist: streamlit (==1.13.0)
Requires-Dist: transformers (==4.32.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2227 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
auto_ner/__init__.py sha256=r_cKr7sbAG8wXvZQ-5WkC2eXGKMDWp6Xe_hNXu43MT0 21
auto_ner/app.py sha256=T-EnwvxunXdmWbWkRzzf4Gnko4wNqach2rUH8nc8zAI 14121
auto_ner/run.py sha256=xqkHsycvOg9XSumRVayYfhEBtpvZfqV8nxW1fPmbfc8 1255
auto_ner-0.1.2.dist-info/LICENSE sha256=HJbbMUhil36PWbpxZsHW9aW0OyohD8A25y82shr7Mzo 1072
auto_ner-0.1.2.dist-info/METADATA sha256=zHCM0GB_mTrMOI1dSiQIyoPrzW9HuY7iS-BLsGHTivg 2783
auto_ner-0.1.2.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
auto_ner-0.1.2.dist-info/entry_points.txt sha256=UvdepyuEoO7D4or-Bwrz89RAs3A5xbrg4-b0DRk5qI0 50
auto_ner-0.1.2.dist-info/top_level.txt sha256=l-k9XF6Sq9EGynr0yv15zNaexR4vHXnvOME77MRRHLU 9
auto_ner-0.1.2.dist-info/RECORD — —

top_level.txt

auto_ner

entry_points.txt

[console_scripts]
auto_ner.run = auto_ner.run:run