With over 2.2 billion installs, the flawed Python package offers attackers a huge blast radius, including silent access to high-value enterprise users running GPU-accelerated inference. A high ...
A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI supply chain risks.
Overview:  Large language models may dominate headlines, but modern NLP tools remain essential for text processing, ...
On June 18, 2026, Hugging Face published a blog post titled "Is it agentic enough?". As coding agents (systems where AI autonomously writes, executes, and fixes code) increasingly interact directly ...
After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...
It allows engineering teams to host frontier-level AI on their own sovereign infrastructure, entirely eliminating vendor lock ...
Fine-tuned transformer-based models for NLP tasks by completing the Fine Tune BERT for Text Classification with TensorFlow guided project on Coursera as part of the UCS654 – Predictive Analytics ...
Building upon the transformers library from Hugging Face, rewrite the forward pass of modules that you want to encrypt, in order to include the quantized operators. Build a SingleHeadQGPT2Model ...
With Transformers release 4.38, you can use Gemma and leverage all the tools within the Hugging Face ecosystem, such as: training and inference scripts and examples safe file format (safetensors) ...