HuggingFace Functions
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HuggingFace Model Query Functions in Naologic Actions
HuggingFace Model Query Functions allow integration with HuggingFace models, providing powerful capabilities for generating content, analyzing sentiment, and executing prompts. These functions require an active HuggingFace API connection and enable workflows leveraging advanced NLP (Natural Language Processing) models.
HuggingFace: Generate a Lesson
The Generate a Lesson function uses HuggingFace models to create structured lessons or educational content based on provided inputs. This function is ideal for e-learning and content creation workflows.
HuggingFace: Generate a Summary
The Generate a Summary function processes text and generates concise summaries using HuggingFace models. This is useful for condensing large documents or extracting key points.
HuggingFace: Generate Sentiment in List
The Generate Sentiment in List function analyzes a list of texts to determine sentiment (e.g., positive, negative, neutral) for each entry. This function supports sentiment analysis in customer feedback, reviews, and more.
HuggingFace: Prompt Model
The Prompt Model function sends a custom prompt to a HuggingFace model and retrieves the generated output. This function enables tailored interactions with models for various use cases, such as creative writing, data analysis, or answering questions.
How to Add a HuggingFace Model Query Function
To add any of the HuggingFace Model Query Functions to an action:
Open the action you wish to edit.
Click on the "Add Function" button inside the action edit modal.
Search for the desired HuggingFace Function in the list of available functions.
Select the function to include it in the action.
Save the action settings.
Once configured, these functions will integrate seamlessly with HuggingFace models, enabling advanced NLP capabilities within your workflows.
Company
© 2025 Naologic, Inc.
Company
© 2025 Naologic, Inc.
HuggingFace Model Query Functions in Naologic Actions
HuggingFace Model Query Functions allow integration with HuggingFace models, providing powerful capabilities for generating content, analyzing sentiment, and executing prompts. These functions require an active HuggingFace API connection and enable workflows leveraging advanced NLP (Natural Language Processing) models.
HuggingFace: Generate a Lesson
The Generate a Lesson function uses HuggingFace models to create structured lessons or educational content based on provided inputs. This function is ideal for e-learning and content creation workflows.
HuggingFace: Generate a Summary
The Generate a Summary function processes text and generates concise summaries using HuggingFace models. This is useful for condensing large documents or extracting key points.
HuggingFace: Generate Sentiment in List
The Generate Sentiment in List function analyzes a list of texts to determine sentiment (e.g., positive, negative, neutral) for each entry. This function supports sentiment analysis in customer feedback, reviews, and more.
HuggingFace: Prompt Model
The Prompt Model function sends a custom prompt to a HuggingFace model and retrieves the generated output. This function enables tailored interactions with models for various use cases, such as creative writing, data analysis, or answering questions.
How to Add a HuggingFace Model Query Function
To add any of the HuggingFace Model Query Functions to an action:
Open the action you wish to edit.
Click on the "Add Function" button inside the action edit modal.
Search for the desired HuggingFace Function in the list of available functions.
Select the function to include it in the action.
Save the action settings.
Once configured, these functions will integrate seamlessly with HuggingFace models, enabling advanced NLP capabilities within your workflows.
HuggingFace Functions
Builder - Canvas
Company
© 2025 Naologic, Inc.
Company
© 2025 Naologic, Inc.