ezpredict 0.0.4

A small package for convenient predictions on fine-tuned huggingface-models

This package is meant to offer a variety of convenient inference functions, particularly for fine-tuned transformers. Limited to j-hartmann's fine-tuned emotion-english-distilroberta-base -> https://huggingface.co/j-hartmann/emotion-english-distilroberta-base for now.

Installs: pip install numpy pip install torch pip install transformers

How to use:

from ezpredict import predict

preds = predict.predict_input(model_name="j-hartmann/emotion-english-distilroberta-base", input=["What a beautiful day!" , "The universe is a function build to evovle increasingly intelligent neural networks."], return_values=True, print_values=True)

Where: model_name -> name of model to perform inference on (limited to "j-hartmann/emotion-english-distilroberta-base" for now) input -> list of strings to perform predictions on return_values -> True/False, True: returns predictions as list of tuples print_values -> True/False, True: returns verbose outputs