The Token Classification Board leverages the Hugging Face Inference API to highlight key parts of a given text. It is particularly useful for quickly identifying important topics or entities within text, such as in research papers, presentations and API documentation.
Warning
Sometimes it will error because model is loading just run the board again.
View the Hugging Face Inference API Token Classification documentation here
Info
Generate a free Hugging Face API key at: https://huggingface.co/settings/tokens
Features
- API Integration: Utilises the Hugging Face Inference API.
- Text Highlighting: Automatically identifies and highlights key parts of the text.
- Optimised Performance: Options for caching and model loading to improve response times.
Inputs
API Key
The API key is required to access the Hugging Face Inference API.
Input Text
The text from which you wish to extract key parts. For example:
My name is Sarah Jessica Parker, and today I will discuss language models, computer science, and AI.
Aggregation Strategy
Defines how the identified keys are grouped together.
Use Cache
A flag indicating whether to use a cached response if the language model has previously processed the same input. This can significantly speed up response times.
Wait for Model
A flag useful for large language models, instructing the API to wait for the model to load before returning a response.
Example Usage
Consider the following input text:
My name is Sarah Jessica Parker, and today I will discuss language models, computer science, and AI.
When processed, the board highlights the key topics: language models, computer science, and AI.
Use Cases
- Research Papers: Quickly identify and highlight all topics discussed within a paper.
- Presentations: Extract key topics from presentation transcripts efficiently.
- Documentation Quickly indetify and highlight key parts of a system.
- Document Processing Scan through documents to check if certain key words exist, for example checking if CV’s sent have keywords we are looking for.
Conclusion
The Token Classification Board provides an efficient way to process and highlight important parts of a text, making it a valuable tool for various text analysis tasks.