Huggingface Transformers

This function uses the summarization model from the Huggingface Transformers library to generate a random summary of the given text.

Function 2024-12-16 12:17:53 29 views

pymongo

This function uses MongoDB's aggregation pipeline to process data in the collection. It first uses the $match stage to filter records, then uses the $group stage to group records and calculate the sum of values for each category, and finally uses the $sort stage to sort by the sum.

The type of code 2024-12-16 12:17:39 15 views

PyVISA

This code defines a function named random_resource_query. The function randomly selects an instrument type (GPIB, ASRL, or TCPIP), opens a resource using the PyVISA library, and queries the IDN (Instrument Identification) of the resource.

The type of code 2024-12-16 12:16:49 11 views

eli5 scikit-learn

This function creates a randomly chosen machine learning pipeline using CountVectorizer for text vectorization and LogisticRegression or DecisionTreeClassifier as the classifier. Then, it uses the show_weights function from the eli5 library to generate a feature importances table and formats it as an HTML table.

Machine learning 2024-12-16 12:16:48 25 views

Python redis

This function uses the redis library to execute a random redis command, such as setting a value, getting a value, incrementing, decrementing, setting an expiration time, executing multiple commands with pipelining, publishing a message, or subscribing to a channel.

Python Function 2024-12-16 12:15:54 11 views

Huggingface Transformers

The function uses the pipeline feature from the Huggingface Transformers library to perform sentiment analysis on the input text, returning sentiment and confidence scores.

The type of code 2024-12-16 12:15:23 28 views

Huggingface Transformers

This function uses the text-generation pipeline from the Huggingface Transformers library to generate random text based on a given prompt.

Custom function 2024-12-16 12:15:04 23 views

Huggingface Transformers

This function randomly selects a sentiment analysis model from the Huggingface Transformers library and creates a sentiment analysis pipeline. Then, it defines an internal function `sentence_analysis` which takes a piece of text and performs sentiment analysis using the pipeline.

Custom function 2024-12-16 12:14:42 28 views

Code using

This code defines a function that randomly selects a task from the Huggingface Transformers library, creates a corresponding pipeline instance, and then defines an embedded function that processes input text using the selected pipeline.

The type of code 2024-12-16 12:13:48 5 views

Huggingface Transformers

This custom function uses the pipeline feature from the Huggingface Transformers library, randomly selects a pre-trained model, and generates a summary for the input text.

Custom function 2024-12-16 12:12:32 25 views