Allennlp DatasetReader The function extracts entity types from a specified dataset. It supports reading data from JSON or CSV files and returns a list of entity types. Function 2024-12-16 11:45:53 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 Vocabulary This function uses the Allennlp library to build a simple sentiment analysis model. It reads the input text, encodes it into an embedding representation, and then passes it through a sequence-to-sequence encoder to produce a sentiment analysis result. Sentiment Analysis 2024-12-16 11:28:02 4 views
Allennlp DatasetReader This function creates a simple model using the given DatasetReader and Tokenizer from the Allennlp library. It defines a simple model architecture with an embedding layer and converts input instances to tensors. Custom function 2024-12-16 11:20:37 3 views
Allennlp DatasetReader This function uses Allennlp's DatasetReader to randomly select entity types from a given dataset. Function 2024-12-07 16:29:10 2 views
Allennlp Model This function takes a dataset reader and a trained model, and returns a prediction for a random instance from the dataset. It first reads the dataset, then randomly selects an instance, converts it into a format that the model can accept, and makes a prediction using the model. Machine learning 2024-12-07 16:24:36 2 views
allennlp.data allennlp.models This code defines a function that randomly selects a model and dataset reader from the AllenNLP library and trains the dataset using the selected model. Function 2024-12-07 16:07:13 2 views
Allennlp Model This code defines a function that randomly selects an Allennlp model and trains it. It first loads a dataset, then creates instances, and finally trains the selected model. Function 2024-12-07 16:01:21 2 views
Allennlp Token This code defines a random text classification model using components from the Allennlp library to create a simple text classification model. It includes dataset reader, vocabulary, instance, model loading, and prediction. Function 2024-12-07 15:55:28 2 views
Allennlp BERT This function uses the BERT model from the Allennlp library to compute word embeddings for the input text. The function first loads the pre-trained BERT model and tokenizer, then tokenizes the input text and converts it to the format required by the model, and finally uses the model to make a prediction and return the word embeddings. Function 2024-12-07 15:52:13 24 views
