Introducing Prodigy-HF: Direct Integration Between Prodigy and Hugging Face
Prodigy-HF is a new integration plugin connecting the Prodigy annotation tool with the Hugging Face ecosystem. The integration enables users to fine-tune and evaluate Hugging Face models directly within Prodigy annotation workflows. This tooling bridges the gap between data labeling and model training pipelines for NLP practitioners.
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Hugging Face Launches Inference for PRO Subscribers
Hugging Face introduced a dedicated inference tier for PRO subscribers, providing access to powerful models via API without rate limits typical of free tiers. The offering targets developers and researchers who need reliable, higher-throughput access to hosted models. This represents a monetization and infrastructure expansion move by Hugging Face to serve professional users.
Hugging Face Launches Inference Providers on the Hub
Hugging Face has introduced Inference Providers on the Hub, a feature that allows users to run models hosted on the Hub through third-party inference providers directly from the platform. This integration consolidates access to multiple inference backends under a unified interface, reducing friction for developers who want to deploy or test models at scale. The announcement positions Hugging Face as a marketplace layer connecting model authors with inference infrastructure providers.
Hugging Face and FriendliAI Partner to Supercharge Model Deployment on the Hub
Hugging Face and FriendliAI have announced a partnership to integrate FriendliAI's inference infrastructure directly into the Hugging Face Hub. The collaboration aims to simplify and accelerate model deployment for developers accessing models through the Hub. This expands the ecosystem of inference providers available on Hugging Face's platform.
DeepInfra Added as Hugging Face Inference Provider
Hugging Face has added DeepInfra as an integrated inference provider on its platform. This expands the roster of third-party inference backends accessible directly through the Hugging Face ecosystem. The integration allows users to route model inference requests to DeepInfra's infrastructure via the standard Hugging Face Inference Providers interface.
Improving Hugging Face Model Access for Kaggle Users
Hugging Face has announced an integration improvement that streamlines how Kaggle users access models from the Hugging Face Hub. The update appears to reduce friction for practitioners using Kaggle notebooks and compute environments to work with Hugging Face-hosted models. This represents a platform-level partnership move between two major ML community hubs.
Announcing New Hugging Face and KerasHub Integration
Hugging Face and KerasHub have announced a new integration enabling users to access Hugging Face models and datasets directly through the Keras ecosystem. This partnership bridges two major ML frameworks, allowing Keras users to leverage the Hugging Face Hub's model repository without leaving the Keras workflow. The integration is aimed at reducing friction for practitioners who prefer Keras-based training and inference pipelines.
Cohere Models Now Available via Hugging Face Inference Providers
Hugging Face has added Cohere as an inference provider on its platform, enabling users to access Cohere models directly through the Hugging Face Inference API. This integration expands the Inference Providers ecosystem, which allows developers to run models from multiple vendors through a unified interface. The announcement reflects continued consolidation of model serving infrastructure across major AI providers.
Groq on Hugging Face Inference Providers
Hugging Face has added Groq as an inference provider in its Inference Providers ecosystem, allowing users to access Groq-hosted models directly through the Hugging Face platform. This integration enables developers to use Groq's LPU-based fast inference via the Hugging Face Hub interface and APIs. The partnership expands the multi-provider inference marketplace that Hugging Face has been building.