Creating a Random Allennlp Model

This function uses the Allennlp library to create a random model. It first creates a random vocabulary and tokenizer, then creates a random text field and an instance, and finally creates a random model without any parameters.

Technology Stack : Allennlp

Code Type : Function

Code Difficulty : Advanced

                
                    
import random
from allennlp.models import Model
from allennlp.data import Instance
from allennlp.data.fields import TextField
from allennlp.data.token_indexers import SingleIdTokenIndexer
from allennlp.data.tokenizers import Tokenizer
from allennlp.data.vocabulary import Vocabulary

def generate_random_model():
    # Create a random vocabulary
    vocab = Vocabulary.from_files('vocab')

    # Create a random tokenizer
    tokenizer = Tokenizer()

    # Create a random text field
    text_field = TextField(tokenizer.tokenize('This is a random sentence'))

    # Create an instance
    instance = Instance({'text': text_field})

    # Create a random model
    random_model = Model.from_params(params={})

    return random_model