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from transformers import BertTokenizer, BertModel
import torch
from torch.utils.data import DataLoader
# Step 1: Preprocess Your Data
# Sample student resumes and internship job descriptions
student_resume_1 = "I have experience in Python programming and data analysis."
internship_job_description_1 = "Looking for a data analyst intern proficient in Python and SQL."
student_resume_2 = "Experienced in web development with HTML, CSS, and JavaScript."
internship_job_description_2 = "Seeking a web development intern skilled in HTML, CSS, and JavaScript."
# Step 2: Tokenization
# Load pre-trained BERT tokenizer
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
# Step 3: Encoding Inputs
# Tokenize and encode the text data
encoded_student_resume_1 = tokenizer(student_resume_1, padding=True, truncation=True, return_tensors='pt')
encoded_internship_job_description_1 = tokenizer(internship_job_description_1, padding=True, truncation=True, return_tensors='pt')
encoded_student_resume_2 = tokenizer(student_resume_2, padding=True, truncation=True, return_tensors='pt')
encoded_internship_job_description_2 = tokenizer(internship_job_description_2, padding=True, truncation=True, return_tensors='pt')
# Step 4: Batching and Data Loading
# Organize encoded input features into batches
batch_size = 2
dataset = [(encoded_student_resume_1, encoded_internship_job_description_1),
(encoded_student_resume_2, encoded_internship_job_description_2)]
dataloader = DataLoader(dataset, batch_size=batch_size)
# Step 5: Feed Data into the Model
# Load pre-trained BERT model
model = BertModel.from_pretrained('bert-base-uncased')
# Iterate over batches and feed data into the model
for batch in dataloader:
student_resume_batch, internship_job_description_batch = batch
# Feed input_ids to the model
student_resume_outputs = model(**student_resume_batch)
internship_job_description_outputs = model(**internship_job_description_batch)
# Get model outputs
student_resume_last_hidden_states = student_resume_outputs.last_hidden_state
internship_job_description_last_hidden_states = internship_job_description_outputs.last_hidden_state
# Perform further processing or analysis with the model outputs
# For example, compute similarity scores between student resumes and internship job descriptions
# ...
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