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* Add qwen2.5-omni * Remove einops dependency * Add torchdiffeq dependency * Sort init * Add torchdiffeq to extras['diffeq'] * Fix repo consistency * use cached_file * del odeint * renew pytest * format * Remove torchdiffeq * format * fixed batch infer bug * Change positional_embedding to parameter * Change default speaker * Config revision * Use modular & code clean * code clean * decouple padding with model & code cleaning * sort init * fix * fix * Second code review * fix * fix * rename vars to full name + some comments * update pytest * Code clean & fix * fix * style * more clean up * fixup * smaller vision model in tests * fix processor test * deflake a bit the tests (still flaky though) * de-flake tests finally + add generation mixin * final nits i hope * make sure processor tests are complete * replace with Qwen2_5OmniForConditionalGeneration * fix tests after updating ckpt * fix typos when cleaning, also we can't change ckpt * fixup * images and videos kwargs for processor * thinker and talker loadable from hub ckpt * address comments and update tests after rebase * fixup * skip for now * fixup * fixup * remove torch dependency in processors --------- Co-authored-by: lvyuanjun.lyj <lvyuanjun.lyj@alibaba-inc.con> Co-authored-by: feizi.wx <feizi.wx@alibaba-inc.com> Co-authored-by: raushan <raushan@huggingface.co>
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Python
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Python