Bump timm from 1.0.13 to 1.0.14 (#1595)

Bumps [timm](https://github.com/huggingface/pytorch-image-models) from
1.0.13 to 1.0.14.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/huggingface/pytorch-image-models/releases">timm's
releases</a>.</em></p>
<blockquote>
<h2>Release v1.0.14</h2>
<h2>Jan 19, 2025</h2>
<ul>
<li>Fix loading of LeViT safetensor weights, remove conversion code
which should have been deactivated</li>
<li>Add 'SO150M' ViT weights trained with SBB recipes, decent results,
but not optimal shape for ImageNet-12k/1k pretrain/ft
<ul>
<li><code>vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k</code>
- 86.7% top-1</li>
<li><code>vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k</code>
- 87.4% top-1</li>
<li><code>vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k</code></li>
</ul>
</li>
<li>Misc typing, typo, etc. cleanup</li>
<li>1.0.14 release to get above LeViT fix out</li>
</ul>
<h2>What's Changed</h2>
<ul>
<li>Fix nn.Module type hints by <a
href="https://github.com/adamjstewart"><code>@​adamjstewart</code></a>
in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2400">huggingface/pytorch-image-models#2400</a></li>
<li>Add missing paper title by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2405">huggingface/pytorch-image-models#2405</a></li>
<li>fix 'timm recipe scripts' link by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2404">huggingface/pytorch-image-models#2404</a></li>
<li>fix typo in EfficientNet docs by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2403">huggingface/pytorch-image-models#2403</a></li>
<li>disable abbreviating csv inference output with ellipses by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2402">huggingface/pytorch-image-models#2402</a></li>
<li>fix incorrect LaTeX formulas by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2406">huggingface/pytorch-image-models#2406</a></li>
<li>VGG ConvMlp: fix layer defaults/types by <a
href="https://github.com/adamjstewart"><code>@​adamjstewart</code></a>
in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2409">huggingface/pytorch-image-models#2409</a></li>
<li>Implement --no-console-results in inference.py by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2408">huggingface/pytorch-image-models#2408</a></li>
<li>LeViT safetensors load is broken by conversion code that wasn't
deactivated by <a
href="https://github.com/rwightman"><code>@​rwightman</code></a> in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2412">huggingface/pytorch-image-models#2412</a></li>
<li>A few more weights by <a
href="https://github.com/rwightman"><code>@​rwightman</code></a> in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2413">huggingface/pytorch-image-models#2413</a></li>
<li>Fix typos by <a
href="https://github.com/JosuaRieder"><code>@​JosuaRieder</code></a> in
<a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2415">huggingface/pytorch-image-models#2415</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/adamjstewart"><code>@​adamjstewart</code></a>
made their first contribution in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2400">huggingface/pytorch-image-models#2400</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.13...v1.0.14">https://github.com/huggingface/pytorch-image-models/compare/v1.0.13...v1.0.14</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/5d535d7a2d4b435b1b5c1177fd8f04a12b942b9a"><code>5d535d7</code></a>
Version 1.0.14, update README &amp; changelog</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/c6b74eb5bd7ad7e96addeb9bf9bdfc34d088f1ac"><code>c6b74eb</code></a>
Remove numpy ver constraint, not relevant for latest PyTorch
version</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/aa333079daf7dac20ee451044fbf867936a13d14"><code>aa33307</code></a>
Tweak so150m2 def</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/8d81fdf3d9cedfaef12f51f52f20ac0d12cb5276"><code>8d81fdf</code></a>
Fix typos</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/3677f679025dfd1d7675dda30c14b5f48a62584a"><code>3677f67</code></a>
Add the 256x256 in1k ft of the so150m, add an alternate so150m def</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/2a84d68d02bc1e84eeec6ce3a0e8febc9e3d7e35"><code>2a84d68</code></a>
Add some so150m vit w/ sbb recipe weights, and a ese_vovnet57b model
with RA4...</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/9265d54a3ac1ede3f5b3c5b4f62daeedb6e5da46"><code>9265d54</code></a>
LeViT safetensors load is broken by conversion code that wasn't
deactivated</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/21e75a9d256d8dc52bc71fdbc4827dc69e307193"><code>21e75a9</code></a>
Update version.py</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/c96e9e7ce03e34aa8812e4aa50463e46131793e5"><code>c96e9e7</code></a>
Merge pull request <a
href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2408">#2408</a>
from JosuaRieder/no_console_results</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/63b2de7a6cdcd2a937a51c782ac7f115474c5043"><code>63b2de7</code></a>
Merge pull request <a
href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2409">#2409</a>
from adamjstewart/models/vgg</li>
<li>Additional commits viewable in <a
href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.13...v1.0.14">compare
view</a></li>
</ul>
</details>
<br />


[![Dependabot compatibility
score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=timm&package-manager=pip&previous-version=1.0.13&new-version=1.0.14)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)

Dependabot 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
`@dependabot rebase`.

[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)

---

<details>
<summary>Dependabot commands and options</summary>
<br />

You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
that have been made to it
- `@dependabot merge` will merge this PR after your CI passes on it
- `@dependabot squash and merge` will squash and merge this PR after
your CI passes on it
- `@dependabot cancel merge` will cancel a previously requested merge
and block automerging
- `@dependabot reopen` will reopen this PR if it is closed
- `@dependabot close` will close this PR and stop Dependabot recreating
it. You can achieve the same result by closing it manually
- `@dependabot show <dependency name> ignore conditions` will show all
of the ignore conditions of the specified dependency
- `@dependabot ignore this major version` will close this PR and stop
Dependabot creating any more for this major version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop
Dependabot creating any more for this minor version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop
Dependabot creating any more for this dependency (unless you reopen the
PR or upgrade to it yourself)


</details>

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

samples/export-requirements.txt

@@ -7,7 +7,7 @@ numpy<2.0.0; sys_platform == 'darwin'
 einops==0.8.0  # For Qwen
 transformers_stream_generator==0.0.5  # For Qwen
 diffusers==0.32.2 # For image generation pipelines
-timm==1.0.13  # For exporting InternVL2
+timm==1.0.14  # For exporting InternVL2
 torchvision  # For visual language models
 transformers>=4.43 # For Whisper
 hf_transfer # for faster models download, should used with env var HF_HUB_ENABLE_HF_TRANSFER=1