Hugging Face is widely used in research and enterprise AI, supporting everything from text generation to image recognition, ...

which provides implementations of transformer-based models such as BERT, GPT, and T5. These models power applications in text classification, summarisation, translation, and more. Hugging Face ...

Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of "broken" pickle files to evade detection. "The pickle files ...

IT researchers have discovered malicious ML models on the Hugging Face AI development platform. Attackers could use them to infiltrate commands. IT researchers have discovered maliciously ...

Small language models (SLMs) are gaining popularity due to their minimal carbon footprint and low computing requirements. The latest to join the bandwagon is SmolLM2 by Hugging Face. SmolLM2 is ...

Similar to Gemini and OpenAI’s implementation, “Open Deep Research” adds an “agent” framework to an already existing AI model, allowing it to perform multi-step tasks like collecting information and ...

The malicious code in these ML models is called “nullifAl” Hugging Face has removed the ML models after it was reported The malicious ML models were stored in PyTorch format ...

In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...

Alternatively, if you only want use to the predictions from an existing Hugging Face text or token classification model, you can use the wrappers from spacy-huggingface-pipelines to incorporate ...