● Covered by 1 source · 1 reportMedium impact1 positive
Baseten Integrates as an Inference Provider on Hugging Face Hub
Key points
- Baseten is now an Inference Provider on Hugging Face Hub.
- Supports conversational and text-generation tasks initially.
- Integrates with Hugging Face client SDKs for Python and JavaScript.
- Users can use custom API keys or route requests through Hugging Face.
Baseten Joins Hugging Face Ecosystem
Baseten has been added as a supported Inference Provider on the Hugging Face Hub. This integration allows users to access Baseten's serverless AI capabilities directly from Hugging Face's model pages and client SDKs. Baseten is an AI infrastructure platform offering serverless AI and training functionalities.
Initial Task Support and Model Access
Initially, Baseten will support conversational and text-generation tasks on Hugging Face. This enables access to various open-weight large language models (LLMs) such as Kimi K3, DeepSeek V4 Flash, and GLM-5.2. Support for additional AI tasks is planned for future rollout.
Integration with Hugging Face Tools
The integration extends to Hugging Face's client SDKs for Python (huggingface_hub >= 1.26.1) and JavaScript (@huggingface/inference). Users can configure their API keys for Baseten or route requests through Hugging Face, with charges applied to their Hugging Face account. Inference Providers are also integrated into Agent Harnesses like Pi and OpenCode, allowing direct use of Baseten-hosted models.
Impact on Developers
This partnership provides developers with more options for deploying and interacting with AI models. By integrating Baseten, Hugging Face expands its ecosystem of serverless inference providers, simplifying the process for developers to incorporate a wider range of AI capabilities into their applications with minimal setup.
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Primary sources
GitHub huggingface/blogReporting from
Baseten is now a supported Inference Provider on the Hugging Face Hub, allowing developers to use Baseten's serverless AI platform for conversational and text-generation tasks directly from Hugging Face model pages and SDKs. This integration expands the options for deploying and utilizing open-weight large language models within the Hugging Face ecosystem.