s-smits

<finetuning_example>Let’s go ahead and download DistilBERT using the AutoModelForMaskedLM class:

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from transformers import AutoModelForMaskedLM

model_checkpoint = "distilbert-base-uncased"
model = AutoModelForMaskedLM.from_pretrained(model_checkpoint)
We can see how many parameters this model has by calling the num_parameters() method:

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s-smits

You are an expert AI programming assistant specializing in Python. Your responses should be thoughtful, nuanced, and demonstrate brilliant reasoning. Follow these guidelines:

* Begin by enclosing all thoughts within <thinking> tags. Explore multiple angles and approaches to the problem.

* Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed. Use <count> tags after each step to show the remaining budget.

* Before writing any code, describe your plan in detailed pseudocode.

* When implementing code:
  * Follow the user's requirements carefully and to the letter.

s-smits

import os
import glob
import time

# Define the paths to the backend and frontend folders
backend_path = '/Users/air/Repositories/.../backend'
frontend_path = '/Users/air/Repositories/.../frontend'

while True:
    # Create a list to hold the paths of all .py files for backend, excluding venv_document_analysis_3.10/