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EnvBert

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1.0.6 EnvBert-1.0.6-py3-none-any.whl

Wheel Details

Project: EnvBert
Version: 1.0.6
Filename: EnvBert-1.0.6-py3-none-any.whl
Download: [link]
Size: 47990
MD5: b5c16b9774b5457d0650139deb083f56
SHA256: f9f008903b0dd8e689daf07df6fd9470af7110d428206ece94fda800ca8dc7e8
Uploaded: 2022-05-02 14:00:54 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: EnvBert
Version: 1.0.6
Summary: Predicts classes of environmental due diligence
Author: Afreen Aman, Deepak John Reji
Author-Email: afreenaman90[at]gmail.com
Home-Page: https://github.com/dreji18/environmental-due-diligence
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy
Requires-Dist: transformers (==4.18.0)
Requires-Dist: tensorflow (==2.4.0)
Requires-Dist: sklearn
Requires-Dist: pandas
Requires-Dist: sentence-transformers (==2.2.0)
Description-Content-Type: text/markdown
[Description omitted; length: 2796 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
EnvBert/__init__.py sha256=bjfg3qW1OfgICm2vKWLtlXfL_XGGDQ5_dWq3HpZW2NU 94
EnvBert/due_diligence.py sha256=9iHIaEz5u5n4-JuZQH1fN82mhUgL0lW8gwGJr0ezriE 7632
EnvBert/data/embeddings.csv sha256=knoo9sjPEslu30uBpuLMgkwy5qg6MwPfGyEQ2iugRMw 97727
EnvBert-1.0.6.dist-info/METADATA sha256=9dYDciBOjEjRX1VMGktPOTPd3QLDeMNz7n20HcX6N8A 3506
EnvBert-1.0.6.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
EnvBert-1.0.6.dist-info/top_level.txt sha256=Fb3Eid5EV4DjeHSin6IXDFx1cBFQp6XCzKJH94GXHr0 8
EnvBert-1.0.6.dist-info/RECORD — —

top_level.txt

EnvBert