Update timm requirement from <=1.0.3,>=0.5.4 to >=0.5.4,<=1.0.7 #2151
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## main #2151 +/- ##
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- Coverage 80.80% 80.79% -0.02%
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Lines 10859 10859
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Updates the requirements on [timm](https://github.com/huggingface/pytorch-image-models) to permit the latest version. - [Release notes](https://github.com/huggingface/pytorch-image-models/releases) - [Changelog](https://github.com/huggingface/pytorch-image-models/blob/main/docs/changes.md) - [Commits](huggingface/pytorch-image-models@v0.5.4...v1.0.7) --- updated-dependencies: - dependency-name: timm dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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@samet-akcay This PR has a different title and content, is this the right one? |
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Updates the requirements on timm to permit the latest version.
Release notes
Sourced from timm's releases.
Commits
b28945fVersion 1.0.7, prep for releasefb13e63Merge pull request #2203 from huggingface/more_mobile427b3e4Update README.md16e082eAdd mobilenetv4 hybrid-large weightse41125cMerge pull request #2209 from huggingface/fcossio-vit-maxpool6254dfaAdd numpy<2.0 to requirements until tests are sorted out for pytorch 2.3 vs o...a224668Add 2400 epoch mobilenetv4 small weights, almost at paper, rounds to 73.8b1a6f4aSome missed reset_classifier() type annotations71101ebRefactor vit pooling to add more reduction options, separately callablea0bb5b4Missing stem_kernel_size argument in EfficientNetFeaturesDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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