Random Allennlp Model Creation

This function randomly creates a simple Allennlp model, including defining the vocabulary, embedding layer, and randomly choosing the model architecture.

Technology Stack : Allennlp, Vocabulary, Embedding, Model

Code Type : The type of code

Code Difficulty : Advanced

                
                    
import random
import numpy as np
from allennlp.data import Vocabulary
from allennlp.models import Model
from allennlp.modules import Embedding

def random_model_creation(num_tokens):
    """
    This function randomly creates a simple Allennlp model.
    """
    # Define a vocabulary with random number of tokens
    vocabulary = Vocabulary.from_frequencies({f"token_{i}": i for i in range(num_tokens)})
    
    # Create a random embedding layer
    embedding_layer = Embedding(num_embeddings=num_tokens, embedding_dim=10)
    
    # Randomly choose an architecture for the model (simple feedforward neural network)
    architecture = random.choice([
        "simple_feedforward",
        "two_layer_feedforward",
        "three_layer_feedforward"
    ])
    
    # Instantiate the model with the chosen architecture
    model = Model(vocabulary=vocabulary, embedding=embedding_layer, architecture=architecture)
    
    return model