transformers - 💡(How to fix) Fix Unemployment [1 participants]

import torch
from transformers import AutoModelForSequenceClassification

# Load pre-trained model and tokenizer
model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased")
tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")

# Define a custom function that combines AI model output with human evaluation
def hybrid_evaluation(input_text):
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model(**inputs)
    logits = outputs.logits
    # Add human evaluation and decision-making here
    human_evaluation = evaluate_human_input(input_text)
    return combine_ai_human_outputs(logits, human_evaluation)

# Example usage:
input_text = "This is a sample input text."
output = hybrid_evaluation(input_text)
print(output)