| Name | T5Custom JSON |
| Version |
1.1.0
JSON |
| download |
| home_page | |
| Summary | Custom T5 model creation with own csv training dataset |
| upload_time | 2023-02-10 08:48:48 |
| maintainer | |
| docs_url | None |
| author | Sushil Ranjan |
| requires_python | |
| license | |
| keywords |
python
t5
t5-base
t5-large
t5-small
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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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