Explore and interact with HuggingFace LLM APIs using Swagger UI
Extract... key phrases from text
Generate vector representations from text
Optimize prompts using AI-driven enhancement
Search for courses by description
List the capabilities of various AI models
Detect if text was generated by GPT-2
Classify Turkish text into predefined categories
Explore BERT model interactions
Analyze Ancient Greek text for syntax and named entities
Give URL get details about the company
Find the best matching text for a query
Compare LLMs by role stability
The HF LLM API is an interface designed to allow users to interact with and explore large language models (LLMs) provided by Hugging Face. It provides a seamless way to access and test various models through a user-friendly Swagger UI interface. This API is ideal for developers and researchers who want to experiment with different LLMs and evaluate their capabilities.
What is Swagger UI?
Swagger UI is an open-source tool that provides an interactive interface for testing and exploring APIs. It allows users to try out API endpoints directly in their browser without writing code.
Can I use any Hugging Face model with this API?
Yes, the HF LLM API is designed to work with a variety of Hugging Face models. You can select from the available models in the Swagger UI.
What kind of prompts can I send to the API?
You can send any text-based prompt that aligns with the capabilities of the selected model. This can range from simple questions to complex queries or content generation tasks.