gensim library

This function uses gensim's Word2Vec model to generate a word vector for a given word. If the word is not in the model's vocabulary, it generates a random vector.

The type of code 2024-12-16 12:17:45 28 views

Allennlp Vocabulary

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

The type of code 2024-12-16 12:16:48 20 views

Allennlp Predictor

This function randomly selects a predictor from the Allennlp library and uses a randomly generated text for prediction.

Function 2024-12-16 12:16:42 19 views

Allennlp

This code defines a simple sentiment analysis model using components from the Allennlp library. It first defines a tokenizer, vocabulary, text field, label field, embedder, feedforward network, and regularizer. Then it creates an instance and trains a model. Finally, it defines a function that uses the model to predict the sentiment of an input sentence.

Text classification model 2024-12-16 12:16:37 17 views

Allennlp Vocabulary

This function uses the Allennlp library to predict the label of a given text. It first loads a pre-trained model and vocabulary. Then, it splits the input text into words and finds the index of each word in the vocabulary. Next, it creates an instance and passes it to the model for prediction. Finally, it returns the predicted label.

The type of code 2024-12-16 12:16:22 18 views

Allennlp TextClassifier

This function uses the TextClassifier Predictor from the Allennlp library to predict the sentiment of the given text. First, it loads the pre-trained model and vocabulary, then converts the input text into a format acceptable by the model, and finally uses the predictor to get the sentiment label of the text.

Text classification 2024-12-16 12:15:11 21 views

Allennlp BERT

This function uses the pre-trained model and predictor from the Allennlp library for entity recognition in text. It first loads a pre-trained model and predictor, then tokenizes the input text, creates an instance, and uses the predictor to predict entities in the text.

The type of code 2024-12-16 12:15:02 13 views

Allennlp

This function creates an instance from a given sentence and vocabulary, and initializes a simple model. It first converts the sentence into a format that the model can understand, then creates a model with basic parameters.

Function 2024-12-16 12:14:19 10 views

gensim Word2Vec

This function uses the Word2Vec model from the gensim library to generate random text. It first loads a pre-trained Word2Vec model, then randomly selects words from the vocabulary, ensuring they are not stop words, and constructs a random text.

The type of code 2024-12-16 12:11:23 5 views

Allennlp TextClassifierPredictor

This code defines a function to predict the sentiment of a given text. It uses the Allennlp library's TextClassifierPredictor to load a pre-trained model and tokenizer, then tokenize the input text and perform sentiment prediction.

The type of code 2024-12-16 12:11:05 4 views