Smart MCQ Solver β TextCNN (Trained from Scratch)
Custom TextCNN model for MCQ solving. 5 options (A/B/C/D/E) mein se sahi answer predict karta hai.
Files
best_model.ptβ Trained model weightstextcnn_config.jsonβ Model configurationtextcnn_model_code.pyβ Model class code
How to load
import torch
from transformers import AutoTokenizer
from textcnn_model_code import CustomTextCNN
# Tokenizer
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
vocab_size = tokenizer.vocab_size
# Model
model = CustomTextCNN(vocab_size=vocab_size)
model.load_state_dict(torch.load("best_model.pt", map_location="cpu"))
model.eval()
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