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Text Analysis
HF LLM API

HF LLM API

Explore and interact with HuggingFace LLM APIs using Swagger UI

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What is HF LLM API ?

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.

Features

  • Swagger UI Integration: Access a clean and interactive interface to test API endpoints.
  • Model Agnostic: Supports a wide range of Hugging Face models.
  • Easy Testing: Quickly experiment with different prompts and parameters.
  • Real-time Responses: Immediate feedback for your queries.
  • Simplified API Interaction: Abstracts away the complexity of raw API calls.
  • Integration Ready: Designed to be easily integrated into applications.

How to use HF LLM API ?

  1. Access the Swagger UI interface via the HF LLM API endpoint.
  2. Select the desired model from the available options.
  3. Input your prompt or query to the selected model.
  4. Execute the request and view the response.
  5. Optionally, refine your request with additional parameters.
  6. Use the results in your application or for further analysis.

Frequently Asked Questions

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.

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