Explore and interact with HuggingFace LLM APIs using Swagger UI
Aligns the tokens of two sentences
Experiment with and compare different tokenizers
Retrieve news articles based on a query
"One-minute creation by AI Coding Autonomous Agent MOUSE"
Electrical Device Feedback Sentiment Classifier
Detect AI-generated texts with precision
Display and explore model leaderboards and chat history
ModernBERT for reasoning and zero-shot classification
Analyze content to detect triggers
fake news detection using distilbert trained on liar dataset
This is for learning purpose, don't take it seriously :)
List the capabilities of various AI models
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.