๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Emma Scharfman
@EmmaScharfmann
ML for science ๐Ÿค— @huggingface open science ๐Ÿ” + open data ๐Ÿ“ˆ = progress
๊ฐ€์ž… June 2026
286 ํŒ”๋กœ์ž‰ ์ค‘    1.3K ํŒฌ
Can you predict next week's weather yourself? We just wrote a blog post that explains how! โ›…๏ธ๐ŸŒ๐ŸŒง๏ธ Running weather forecasting required having a supercomputer and CS/physics Phd. Now, AI-based models need fewer resources and are available to anyone on @huggingface. So, prediction the weather should be accessible to all. But only a few labs can actually run these models because there is no standardized documentation guiding you from the model weights to an actual forecast. Together with @EarthmoverHQ, we wrote a blog post and a demo walking you through that: The blog covers the code for fetching initial conditions from the Earthmover Marketplace, building a model's input batch, running inference and comparing the forecast against historical climate data. You can also run Aurora (Microsoft), WeatherNext2 (Google) and AIFS (ECMWF) on our demo space. This is a first step to make AI-based weather forecasting models more accessible, and we'd love to build more of that. Tell us what's missing or your feedback in the blog comments!
๋” ๋ณด๊ธฐ