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Bump transformers from 4.38.0 to 4.48.0 in the pip group across 1 directory #24

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@dependabot dependabot bot commented on behalf of github Feb 11, 2025

Bumps the pip group with 1 update in the / directory: transformers.

Updates transformers from 4.38.0 to 4.48.0

Release notes

Sourced from transformers's releases.

v4.48.0: ModernBERT, Aria, TimmWrapper, ColPali, Falcon3, Bamba, VitPose, DinoV2 w/ Registers, Emu3, Cohere v2, TextNet, DiffLlama, PixtralLarge, Moonshine

New models

ModernBERT

The ModernBert model was proposed in Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference by Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Galalgher, Raja Bisas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Grifin Adams, Jeremy Howard and Iacopo Poli.

It is a refresh of the traditional encoder architecture, as used in previous models such as BERT and RoBERTa.

It builds on BERT and implements many modern architectural improvements which have been developed since its original release, such as:

  • Rotary Positional Embeddings to support sequences of up to 8192 tokens.
  • Unpadding to ensure no compute is wasted on padding tokens, speeding up processing time for batches with mixed-length sequences.
  • GeGLU Replacing the original MLP layers with GeGLU layers, shown to improve performance.
  • Alternating Attention where most attention layers employ a sliding window of 128 tokens, with Global Attention only used every 3 layers.
  • Flash Attention to speed up processing.
  • A model designed following recent The Case for Co-Designing Model Architectures with Hardware, ensuring maximum efficiency across inference GPUs.
  • Modern training data scales (2 trillion tokens) and mixtures (including code ande math data)

image

Aria

The Aria model was proposed in Aria: An Open Multimodal Native Mixture-of-Experts Model by Li et al. from the Rhymes.AI team.

Aria is an open multimodal-native model with best-in-class performance across a wide range of multimodal, language, and coding tasks. It has a Mixture-of-Experts architecture, with respectively 3.9B and 3.5B activated parameters per visual token and text token.

TimmWrapper

We add a TimmWrapper set of classes such that timm models can be loaded in as transformer models into the library.

Here's a general usage example:

import torch
from urllib.request import urlopen
from PIL import Image
from transformers import AutoConfig, AutoModelForImageClassification, AutoImageProcessor
checkpoint = "timm/resnet50.a1_in1k"
img = Image.open(urlopen(
'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))
image_processor = AutoImageProcessor.from_pretrained(checkpoint)
</tr></table>

... (truncated)

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Summary by Sourcery

Enhancements:

  • Upgrade transformers library to 4.48.0, which includes new models like ModernBERT and Aria, a TimmWrapper for using timm models, and various improvements and bug fixes.

Bumps the pip group with 1 update in the / directory: [transformers](https://github.com/huggingface/transformers).


Updates `transformers` from 4.38.0 to 4.48.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.38.0...v4.48.0)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Feb 11, 2025
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sourcery-ai bot commented Feb 11, 2025

Reviewer's Guide by Sourcery

This pull request updates the transformers dependency from version 4.38.0 to 4.48.0 by modifying the requirements.txt file. The upgrade reflects the inclusion of several new models and improvements provided in the upstream release.

Flow Diagram for Transformers Dependency Update

flowchart TD
    A[Dependabot detects new version] --> B[Generate PR to update requirements.txt]
    B --> C[Update transformers version from 4.38.0 to 4.48.0]
    C --> D[Include new models and improvements as per upstream release]
    D --> E[Run CI/CD tests]
    E --> F[Merge PR and deploy update]
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File-Level Changes

Change Details Files
Upgrade the transformers dependency version.
  • Modified the version number for transformers in requirements.txt from 4.38.0 to 4.48.0.
requirements.txt

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