How to Install and Use the Hugging Face Unity API

• Installation
• Supported Tasks and Custom Models
• Usage Tips
• Conclusion

The Hugging Face Unity API is an easy-to-use integration of the Hugging Face Inference API, allowing developers to access and use Hugging Face AI models in their Unity projects. In this blog post, we'll walk through the steps to install and use the Hugging Face Unity API.

Installation

1. Open your Unity project
2. Go to Window -> Package Manager
3. Click + and select Add Package from git URL
4. Enter https://github.com/huggingface/unity-api.git
5. Once installed, the Unity API wizard should pop up. If not, go to Window -> Hugging Face API Wizard

1. Enter your API key. Your API key can be created in your Hugging Face account settings.
2. Test the API key by clicking Test API key in the API Wizard.
3. Optionally, change the model endpoints to change which model to use. The model endpoint for any model that supports the inference API can be found by going to the model on the Hugging Face website, clicking Deploy -> Inference API, and copying the url from the API_URL field.
4. Configure advanced settings if desired. For up-to-date information, visit the project repository at https://github.com/huggingface/unity-api
5. To see examples of how to use the API, click Install Examples. You can now close the API Wizard.

Now that the API is set up, you can make calls from your scripts to the API. Let's look at an example of performing a Sentence Similarity task:

Supported Tasks and Custom Models

The Hugging Face Unity API also currently supports the following tasks:

• Conversation
• Text Generation
• Text to Image
• Text Classification
• Question Answering
• Translation
• Summarization
• Speech Recognition

Use the corresponding methods provided by the HuggingFaceAPI class to perform these tasks.

To use your own custom model hosted on Hugging Face, change the model endpoint in the API Wizard.