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chore(deps): bump the pip group across 1 directory with 5 updates#5

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chore(deps): bump the pip group across 1 directory with 5 updates#5
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dependabot/pip/pip-77bbe33810

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@dependabot dependabot bot commented on behalf of github Feb 11, 2026

Bumps the pip group with 5 updates in the / directory:

Package From To
torch 2.1.0 2.8.0
transformers 4.42.4 4.53.0
pillow 10.4.0 12.1.1
gradio 3.41.2 5.31.0
rembg 2.0.57 2.0.68

Updates torch from 2.1.0 to 2.8.0

Release notes

Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

Highlights

... (truncated)

Commits
  • ba56102 Cherrypick: Add the RunLLM widget to the website (#159592)
  • c525a02 [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (#15...
  • a1cb3cc [Release Only] Remove nvshmem from list of preload libraries (#158925)
  • c76b235 Move out super large one off foreach_copy test (#158880)
  • 20a0e22 Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...
  • 9167ac8 [MPS] Switch Cholesky decomp to column wise (#158237)
  • 5534685 [MPS] Reimplement tri[ul] as Metal shaders (#158867)
  • d19e08d Cherry pick PR 158746 (#158801)
  • a6c044a [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...
  • 620ebd0 [Dynamo] Use proper sources for constructing dataclass defaults (#158689)
  • Additional commits viewable in compare view

Updates transformers from 4.42.4 to 4.53.0

Release notes

Sourced from transformers's releases.

Release v4.53.0

Gemma3n

Gemma 3n models are designed for efficient execution on low-resource devices. They are capable of multimodal input, handling text, image, video, and audio input, and generating text outputs, with open weights for pre-trained and instruction-tuned variants. These models were trained with data in over 140 spoken languages.

Gemma 3n models use selective parameter activation technology to reduce resource requirements. This technique allows the models to operate at an effective size of 2B and 4B parameters, which is lower than the total number of parameters they contain. For more information on Gemma 3n's efficient parameter management technology, see the Gemma 3n page.

image

from transformers import pipeline
import torch
pipe = pipeline(
"image-text-to-text",
torch_dtype=torch.bfloat16,
model="google/gemma-3n-e4b",
device="cuda",
)
output = pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg",
text="<image_soft_token> in this image, there is"
)
print(output)

Dia

image

Dia is an opensource text-to-speech (TTS) model (1.6B parameters) developed by Nari Labs. It can generate highly realistic dialogue from transcript including nonverbal communications such as laughter and coughing. Furthermore, emotion and tone control is also possible via audio conditioning (voice cloning).

Model Architecture: Dia is an encoder-decoder transformer based on the original transformer architecture. However, some more modern features such as rotational positional embeddings (RoPE) are also included. For its text portion (encoder), a byte tokenizer is utilized while for the audio portion (decoder), a pretrained codec model DAC is used - DAC encodes speech into discrete codebook tokens and decodes them back into audio.

Kyutai Speech-to-Text

Kyutai STT is a speech-to-text model architecture based on the Mimi codec, which encodes audio into discrete tokens in a streaming fashion, and a Moshi-like autoregressive decoder. Kyutai’s lab has released two model checkpoints:

... (truncated)

Commits

Updates pillow from 10.4.0 to 12.1.1

Release notes

Sourced from pillow's releases.

12.1.1

https://pillow.readthedocs.io/en/stable/releasenotes/12.1.1.html

Dependencies

Other changes

12.1.0

https://pillow.readthedocs.io/en/stable/releasenotes/12.1.0.html

Deprecations

Documentation

Dependencies

Testing

... (truncated)

Changelog

Sourced from pillow's changelog.

Changelog (Pillow)

11.1.0 and newer

See GitHub Releases:

11.0.0 (2024-10-15)

  • Update licence to MIT-CMU #8460 [hugovk]

  • Conditionally define ImageCms type hint to avoid requiring core #8197 [radarhere]

  • Support writing LONG8 offsets in AppendingTiffWriter #8417 [radarhere]

  • Use ImageFile.MAXBLOCK when saving TIFF images #8461 [radarhere]

  • Do not close provided file handles with libtiff when saving #8458 [radarhere]

  • Support ImageFilter.BuiltinFilter for I;16* images #8438 [radarhere]

  • Use ImagingCore.ptr instead of ImagingCore.id #8341 [homm, radarhere, hugovk]

  • Updated EPS mode when opening images without transparency #8281 [Yay295, radarhere]

  • Use transparency when combining P frames from APNGs #8443 [radarhere]

  • Support all resampling filters when resizing I;16* images #8422 [radarhere]

  • Free memory on early return #8413 [radarhere]

  • Cast int before potentially exceeding INT_MAX #8402 [radarhere]

... (truncated)

Commits

Updates gradio from 3.41.2 to 5.31.0

Changelog

Sourced from gradio's changelog.

5.31.0

Features

Fixes

5.30.0

Features

Fixes

5.29.1

Features

Fixes

... (truncated)

Commits

Updates rembg from 2.0.57 to 2.0.68

Release notes

Sourced from rembg's releases.

v2.0.68

What's Changed

New Contributors

Full Changelog: danielgatis/rembg@v2.0.67...v2.0.68

v2.0.67

What's Changed

New Contributors

Full Changelog: danielgatis/rembg@v2.0.66...v2.0.67

v2.0.66

What's Changed

New Contributors

Full Changelog: danielgatis/rembg@v2.0.65...v2.0.66

v2.0.65

What's Changed

... (truncated)

Commits

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Bumps the pip group with 5 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [torch](https://github.com/pytorch/pytorch) | `2.1.0` | `2.8.0` |
| [transformers](https://github.com/huggingface/transformers) | `4.42.4` | `4.53.0` |
| [pillow](https://github.com/python-pillow/Pillow) | `10.4.0` | `12.1.1` |
| [gradio](https://github.com/gradio-app/gradio) | `3.41.2` | `5.31.0` |
| [rembg](https://github.com/danielgatis/rembg) | `2.0.57` | `2.0.68` |



Updates `torch` from 2.1.0 to 2.8.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.1.0...v2.8.0)

Updates `transformers` from 4.42.4 to 4.53.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.42.4...v4.53.0)

Updates `pillow` from 10.4.0 to 12.1.1
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@10.4.0...12.1.1)

Updates `gradio` from 3.41.2 to 5.31.0
- [Release notes](https://github.com/gradio-app/gradio/releases)
- [Changelog](https://github.com/gradio-app/gradio/blob/main/CHANGELOG.md)
- [Commits](https://github.com/gradio-app/gradio/compare/gradio@3.41.2...gradio@5.31.0)

Updates `rembg` from 2.0.57 to 2.0.68
- [Release notes](https://github.com/danielgatis/rembg/releases)
- [Commits](danielgatis/rembg@v2.0.57...v2.0.68)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 4.53.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pillow
  dependency-version: 12.1.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: gradio
  dependency-version: 5.31.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: rembg
  dependency-version: 2.0.68
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Feb 11, 2026
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