Hugging Face has officially released Cosmopedia, currently the largest and fully open-source synthetic dataset designed for the pre-training of large language…
As the parameter counts of large language models (LLMs) have skyrocketed, the hardware requirements for training and fine-tuning these models have risen…
Time series forecasting is critically important in fields such as finance, meteorology, energy, and the Internet of Things. In recent years, while the…
This is a classic technical guide written by the Hugging Face team, designed to help developers and researchers gain a deep understanding of how…
When working with structured data such as tables, traditional pre-trained models typically require crawling large amounts of real-world tables and related text…
BERT (Bidirectional Encoder Representations from Transformers) is a landmark natural language processing (NLP) model proposed by Google in 2018. This Hugging…
This classic Hugging Face blog post documents the birth of the "CodeParrot" project — an experiment in training a code generation model entirely from scratch…
This classic blog post from Hugging Face provides a detailed walkthrough of how to use their open-source ecosystem libraries — `transformers` and `tokenizers`…