mrm8488

/

t5-base-finetuned-emotion

like 50

Can we use this model in the pipeline() function of HuggingFace, if yes then how?

from transformers import AutoTokenizer, AutoModelWithLMHead

tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-emotion")

model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-emotion")

def get_emotion(text):
  input_ids = tokenizer.encode(text + '</s>', return_tensors='pt')

  output = model.generate(input_ids=input_ids,
               max_length=2)
  
  dec = [tokenizer.decode(ids) for ids in output]
  label = dec[0]
  return label
  
 get_emotion("i feel as if i havent blogged in ages are at least truly blogged i am doing an update cute") # Output: 'joy'
 
 get_emotion("i have a feeling i kinda lost my best friend") # Output: 'sadness'