Allennlp JsonDict

This function uses Allennlp's JsonDict and PretrainedTransformerIndexer to create a random JSON dictionary and converts the JSON dictionary to a dictionary that can be indexed.

Python Function 2024-12-16 11:53:01 3 views

Allennlp Predictor

This function uses a pre-trained model from AllenNLP to analyze the sentiment of a given text and returns the predicted sentiment label.

Function 2024-12-16 11:44:21 3 views

Allennlp BERT

This code defines a function that uses the BERT model from the Allennlp library to extract noun phrases from the given text. The function first checks if the model exists, and if not, simulates downloading the model. Then it loads the vocabulary, tokenizer, indexers, and model. Finally, it uses the model to predict noun phrases in the text.

The type of code 2024-12-16 11:37:55 3 views

Allennlp BERT

This function uses multiple components from the Allennlp library to generate a simple model and instance. It initializes a pretrained tokenizer and indexer, then creates a vocabulary. Next, it creates a dataset reader and reads some data. After that, it creates an instance and finally generates a model.

Allennlp model generating function 2024-12-16 11:30:34 3 views

Allennlp TextField

This function generates a random instance for AllenNLP using the Allennlp library. The instance consists of a random sentence, and uses a pre-trained BERT tokenizer and indexer for tokenization and indexing.

Function 2024-12-07 16:21:58 3 views

Allennlp TextClassifierPredictor

This function uses the TextClassifierPredictor from the Allennlp library to predict the sentiment of the input text. First, it loads the pre-trained vocabulary and model, then tokenizes and indexes the input text, and finally uses the model to make a prediction.

Text sentiment prediction 2024-12-07 15:59:27 3 views

Allennlp Predictor

This function randomly selects a predictor from Allennlp and generates a prediction using a random sample input. It first randomly selects a predictor from all available predictors, then randomly selects a sample input, creates an instance, and predicts using the instance.

Function 2024-12-07 15:58:41 3 views

Allennlp TextClassifierPredictor

This function uses a pretrained text classification model from the AllenNLP library to make predictions on input text.

Text Classification Prediction Function 2024-12-07 15:55:08 3 views

Allennlp Model

This code defines three functions, each for generating a random instance, creating a random dataset, and training a random model. It uses multiple components from the AllenNLP library, including models, datasets, dataset readers, tokenizers, and indexers.

Function 2024-12-07 15:46:39 4 views

Allennlp Numpy

This function generates a simple text classification model using the Allennlp library, including text field, label field, tokenizer, indexer, embedder, and model. Then, it creates an instance and makes a prediction using the model.

Text classification model generating function 2024-12-07 15:40:47 4 views