Metadata-Version: 2.1
Name: T5Custom
Version: 1.0.5
Summary: Custom T5 model creation with own csv training dataset
Home-page: UNKNOWN
Author: Sushil Ranjan
Author-email: nikuraj006@gmail.com
License: UNKNOWN
Keywords: python,T5,T5-Base,T5-Large,T5-Small
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown

To run this customT5 need a training dataset which have two coloumns "UseCase" which is a target and "Sentences" which is a source variable.

Ex:
	!pip install T5Custom

    from T5Custom import main
	import pandas as pd
	path = "https://github.com/nikuraj006/customeT5/blob/main/T5_training%20Data.csv"
	df = pd.read_csv(path).dropna()
	
	main.trainModel(df,True) # to train Model
	
	


