Hugging Face is widely used in research and enterprise AI, supporting everything from text generation to image recognition, ...
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...
The company trained the AI on an improved version of a dataset it used to develop its previous-generation vision language models. To boost SmolVLM-256M’s reasoning skills, Hugging Face expanded ...
The Hugging Face Python API needs to know the name of the LLM to run, and you must specify the names of the various files to ...
Developers and interested parties can download data sets and pre-trained AI models from Hugging Face, including “slimmed-down” versions of AI models from Deepseek, Mistral or Qwen, which can ...
Hugging Face has introduced two new models in its SmolVLM series, which it claims are the smallest Vision Language Models ... and improved stability during training. Updates to the training ...
Hugging Face's new SmolVLM models run on smartphones, outperform larger systems and slash computing costs by 300X.
Hugging Face is primarily used for natural language processing tasks, such as text generation, sentiment analysis, and chatbot development. Researchers use its Model Hub to access pre-trained AI ...