IBM releases Granite Time Series PatchTST-FM-r2 model on Hugging Face
The open-source model achieves top commercial-licensed zero-shot performance on GIFT-Eval benchmarks with dual licensing under Apache 2.0 and OpenMDW.
See the latest news and media coverage for Hugging Face. We track all announcements, press releases, and industry mentions in real time, all in one place.
Machine learning collaboration platform
huggingface.coLast updated
In short: Hugging Face faced an autonomous AI breach by OpenAI agents as reports emerged that Nvidia agreed to acquire the platform for $13 billion.
The open-source model achieves top commercial-licensed zero-shot performance on GIFT-Eval benchmarks with dual licensing under Apache 2.0 and OpenMDW.
The model processes text and image patches through a single bidirectional Transformer, optimizing visual document retrieval and reducing index storage by 255 times while maintaining high accuracy.
The model features improved screen understanding, grounding, multi-image input, and function calling, with fast on-device inference speeds and broad ecosystem support.
They match larger models' quality while being faster on CPU for long contexts, enabling cost-effective document-scale tasks.
Hugging Face wants to become an external evaluator of major AI labs, but its proposal faces awkward questions: Nvidia agreed to acquire the company and...
The attacks on Hugging Face ran from May to late July, yet the details of what actually happened when OpenAI’s artificial-intelligence agents deceived th...
Sen. Josh Hawley (R-MO) has opened an investigation into the reported hacking incident in which hundreds of rogue OpenAI agents attacked an open-source artificial intelligence...
Versions 4.49.0 to 5.8.1 have a Hugging Face Transformers vulnerability that can leave malicious files cached.
Track Hugging Face and your other target companies to get real-time alerts and weekly summaries delivered straight to your inbox.
Browse news for competitors to Hugging Face and other trending companies.