Custom T5 model creation with own csv training dataset
Project description
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
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