Baseten on Hugging Face Inference Providers 🔥

We're thrilled to share that Baseten is now a supported Inference Provider on the Hugging Face Hub!

Baseten joins our growing ecosystem, enhancing the breadth and capabilities of serverless inference directly on the Hub's model pages. Inference Providers are also seamlessly integrated into our client SDKs (for both JS and Python), making it super easy to use a wide variety of models with your preferred providers.

Baseten is an AI infrastructure platform that covers serverless AI, training and more. With a catalog of many frontier models, Baseten makes it easy for developers to integrate a wide range of AI capabilities into their applications with minimal setup.

Baseten supports a broad spectrum of model types - from LLMs to text-to-speech and more. As part of this initial integration, Baseten is launching support for conversational and text-generation tasks on Hugging Face, enabling access to popular open-weight LLMs such as Kimi K3, latest DeepSeek V4 Flash, GLM-5.2, and many more. Support for additional tasks will roll out soon!

See the full list of models supported by Baseten here.

Follow Baseten on Hugging Face: https://huggingface.co/baseten.

How it works

In the website UI

1. In your user account settings, you are able to:

• Set your own API keys for the providers you've signed up with. If no custom key is set, your requests will be routed through HF.
• Order providers by preference. This applies to the widget and code snippets in the model pages.

1. As mentioned, there are two modes when calling Inference Providers:

• Custom key (calls go directly to the inference provider, using your own API key of the corresponding inference provider)
• Routed by HF (in that case, you don't need a token from the provider, and the charges are applied directly to your HF account rather than the provider's account)

1. Model pages showcase third-party inference providers (the ones that are compatible with the current model, sorted by user preference)