WebXGLM (From Facebook AI) released with the paper Few-shot Learning with Multilingual Language Models by Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, ... WebWe found XGLM demonstrate strong cross-lingual capability where using English prompts together with non-English examples yields com-petitive zero- and few-shot learning …
XLM-R: State-of-the-art cross-lingual understanding through ... - Facebook
WebFigure 4 shows the comparison between XGLM 7.5B , GPT-3 6.7B and XGLM 6.7B en-only on a subset of English tasks included in the evaluation set of Brown et al. (2024). Our replication of GPT-3 6.7B ... WebThe resulting models show performance on par with the recently released XGLM models by Facebook, covering more languages and enhancing NLP possibilities for low resource languages of CIS countries and Russian small nations. We detail the motivation for the choices of the architecture design, thoroughly describe the data preparation pipeline ... cancer survivors and employment
mGPT: Few-Shot Learners Go Multilingual Papers With Code
WebApr 13, 2024 · facebook/xglm-564M • Updated Jan 24 • 3.23k • 21 KoboldAI/fairseq-dense-2.7B-Nerys • Updated Jun 25, 2024 • 2.88k • 6 facebook/incoder-6B • Updated Jan 24 • 2.63k • 43 KoboldAI/fairseq-dense-125M • Updated Sep 11, 2024 • 1.71k facebook/xglm-1.7B • Updated ... WebXGLM models by Facebook, covering more languages and enhancing NLP possibilities for low resource languages of CIS countries and Russian small nations. We detail the moti-vation for the choices of the architecture de-sign, thoroughly describe the data preparation pipeline, and train five small versions of the WebCan not make review request pages_manage_posts because this button was disabled cancer survivorship provider network