Search results
Results From The WOW.Com Content Network
Information about this dataset's format is available in the HuggingFace dataset card and the project's website. The dataset can be downloaded here, and the rejected data here. 2016 [343] Paperno et al. FLAN A re-preprocessed version of the FLAN dataset with updates since the original FLAN dataset was released is available in Hugging Face: test data
BigScience was led by HuggingFace and involved several hundreds of researchers and engineers from France and abroad representing both the academia and the private sector. BigScience was supported by a large-scale public compute grant on the French public supercomputer Jean Zay, managed by GENCI and IDRIS ( CNRS ), on which it was trained.
huggingface.co Hugging Face, Inc. is an American company that develops computation tools for building applications using machine learning . It is known for its transformers library built for natural language processing applications.
WASHINGTON (Reuters) -In its latest jab at Beijing, the U.S. will empower companies like Google and Microsoft to act as gatekeepers worldwide for highly sought-after access to AI chips, two people ...
The Eagles planted a flag, or rather flew one outside the cockpit window as they left Philadelphia and arrived in New Orleans for Super Bowl 2025.
3. Diet. You are what you eat — and what you eat (or don’t eat) can affect your hair health. Certain diets, particularly those that lead to deficiencies in minerals and vitamins such as ...
The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]
RAWPED is a dataset for detection of pedestrians in the context of railways. The dataset is labeled box-wise. 26000 Images Object recognition and classification 2020 [70] [71] Tugce Toprak, Burak Belenlioglu, Burak Aydın, Cuneyt Guzelis, M. Alper Selver OSDaR23 OSDaR23 is a multi-sensory dataset for detection of objects in the context of railways.