On 3/1/24 15:32, Tim Flink wrote:
On 3/1/24 14:54, Neal Gompa wrote:
On Fri, Mar 1, 2024 at 4:52 PM Tim Flink
wrote:
On 2/28/24 19:03, Richard Fontana wrote:
On Tue, Feb 27, 2024 at 5:58 PM Tim Flink
wrote:
On 2/26/24 19:06, Richard Fontana wrote:
4. Is it acceptable to package
On 3/1/24 14:54, Neal Gompa wrote:
On Fri, Mar 1, 2024 at 4:52 PM Tim Flink wrote:
On 2/28/24 19:03, Richard Fontana wrote:
On Tue, Feb 27, 2024 at 5:58 PM Tim Flink wrote:
On 2/26/24 19:06, Richard Fontana wrote:
4. Is it acceptable to package code which downloads pre-trained
On 2/28/24 19:03, Richard Fontana wrote:
On Tue, Feb 27, 2024 at 5:58 PM Tim Flink wrote:
On 2/26/24 19:06, Richard Fontana wrote:
4. Is it acceptable to package code which downloads pre-trained weights from a
non-Fedora source upon first use post-installation by a user if that model
On 2/26/24 19:06, Richard Fontana wrote:
4. Is it acceptable to package code which downloads pre-trained weights from a
non-Fedora source upon first use post-installation by a user if that model and
its associated weights are
a. For a specific model?
b. For a user-defined model
These questions came up in a FESCo ticket [1] recently and the primary purpose
of this thread is to have some public record of the conversation around the
handling of pre-trained weights for AI/ML models as packaged for Fedora.
[1] https://pagure.io/fesco/issue/3175
Intro and Definitions
I'm working on a project that's currently gpl2+ licensed [1] and we
want to include some code from a gpl3 project [2]. This code will be an
isolated utility used to generate documentation from data contained in
other source files.
[1] https://bitbucket.org/fedoraqa/libtaskotron
[2]
