#Loading libraries 
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
import pandas as pd

#Creating dataset
df = pd.DataFrame({'text1': ['Hey! You are strong.',
         'Believe in yourself.'], 
          'text2': ['Believe in your efforts.',
           'You can do it.']})

#Applying ColumnTransformer
ct = ColumnTransformer([
    ('text1_hash', HashingVectorizer(), 'text1'),
    ('text2_hash', HashingVectorizer(), 'text2')])

#Creating pipeline
pipeline = Pipeline([
    ('transformer', ct)])
pipeline.fit_transform(df)