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Machine Learning

https://download.opensuse.org/repositories/home:/birdwatcher:/machinelearning/openSUSE_Tumbleweed/ home:birdwatcher

https://download.opensuse.org/repositories/home:/birdwatcher/openSUSE_Tumbleweed/ home:birdwatcher:rocm

ROCm 6.2

Ports of Fedora 41 packages https://download.opensuse.org/repositories/home:/birdwatcher:/rocm/openSUSE_Tumbleweed/ openSUSE:Factory

The next openSUSE distribution

openSUSE Tumbleweed: The Bleeding Edge, Perfected. Tumbleweed is the ultimate rolling release distribution, providing the latest software as it’s released, built upon a foundation of world-class stability and testing. * Always Current: Get the newest kernel, IDEs, desktops, and applications automatically. * Powerfully Stable: Experience the velocity of a rolling release without sacrificing the reliability you depend on. * Engineered for Professionals: The top choice for Developers, Power Users, and openSUSE Contributors who need the best tools for the job. If you demand the latest stable software, your choice is Tumbleweed. Staging dashboard is located at: https://build.opensuse.org/staging_workflows/openSUSE:Factory List of known devel projects: https://build.opensuse.org/package/view_file/openSUSE:Factory:Staging/dashboard/devel_projects Have a look at http://en.opensuse.org/Portal:Factory for more details. https://download.opensuse.org/tumbleweed/repo/oss/ python-tokenizers

Provides an implementation of today's most used tokenizers

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. * Train new vocabularies and tokenize, using today's most used tokenizers. * Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes less than 20 seconds to tokenize a GB of text on a server's CPU. * Easy to use, but also extremely versatile. * Designed for research and production. * Normalization comes with alignments tracking. It's always possible to get the part of the original sentence that corresponds to a given token. * Does all the pre-processing: Truncate, Pad, add the special tokens your model needs.