EricFillion

# In terminal 
# pip install happytransformer

# Python code below 

#------------------------------------------------------------------------------------------------------------------------------
# Casual to Formal 
#------------------------------------------------------------------------------------------------------------------------------

from happytransformer import HappyTextToText

EricFillion

# pip install happytransformer 
from happytransformer import HappyGeneration

happy_gen = HappyGeneration("GPT-NEO", "EleutherAI/gpt-neo-125M")

result = happy_gen.generate_text("What is natural language processing?")

print(result.text)
# ----------------------------
# Result: 

EricFillion

# pip install transformers
from transformers import pipeline

tags = ["travel", "surfing", "Indonesia", "Bali", "cryptocurrencies", "bitcoin", "mining", "gardening", "plants"]
sequences = ["Best surf camp in Bali", "How do I build a crypto mining rig?", "my plant has yellow leaves"]

classifer = pipeline("zero-shot-classification")


for text in sequences:

EricFillion

# pip install gender-guesser
from gender_guesser.detector import Detector 

gender_detector = Detector()

names = ["Eric", "Kylie", "Spencer", "Erin"]

for name in names:
  result = gender_detector.get_gender(name)
  print(name + ":", result)

EricFillion

from happytransformer import HappyTextClassification
from datasets import load_dataset
import csv
# Colab: https://colab.research.google.com/drive/1z8m5QYi2tcQLd3m_fESK37SYbMBSqTO7?usp=sharing


def run_finetune():
    train_csv_path = "train.csv"
    eval_csv_path = "eval.csv"

EricFillion

from datasets import load_dataset
import csv
from happytransformer.happy_question_answering import  HappyQuestionAnswering


def main():
    # Be careful not to commit the csv files to the rep
    train_csv_path = "train.csv"
    eval_csv_path = "eval.csv"