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build(deps-dev): bump transformers from 4.12.5 to 4.26.1 #353

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@dependabot dependabot bot commented on behalf of github Feb 10, 2023

Bumps transformers from 4.12.5 to 4.26.1.

Release notes

Sourced from transformers's releases.

V4.26.1: Patch release

v4.26.0: Generation configs, image processors, backbones and plenty of new models!

GenerationConfig

The generate method has multiple arguments whose defaults were lying in the model config. We have now decoupled these in a separate generation config, which makes it easier to store different sets of parameters for a given model, with different generation strategies. While we will keep supporting generate arguments in the model configuration for the foreseeable future, it is now recommended to use a generation config. You can learn more about its uses here and its documentation here.

  • Generate: use GenerationConfig as the basis for .generate() parametrization by @​gante in #20388
  • Generate: TF uses GenerationConfig as the basis for .generate() parametrization by @​gante in #20994
  • Generate: FLAX uses GenerationConfig as the basis for .generate() parametrization by @​gante in #21007

ImageProcessor

In the vision integration, all feature extractor classes have been deprecated to be renamed to ImageProcessor. The old feature extractors will be fully removed in version 5 of Transformers and new vision models will only implement the ImageProcessor class, so be sure to switch your code to this new name sooner rather than later!

New models

AltCLIP

AltCLIP is a variant of CLIP obtained by switching the text encoder with a pretrained multilingual text encoder (XLM-Roberta). It has very close performances with CLIP on almost all tasks, and extends the original CLIP’s capabilities to multilingual understanding.

BLIP

BLIP is a model that is able to perform various multi-modal tasks including visual question answering, image-text retrieval (image-text matching) and image captioning.

BioGPT

BioGPT is a domain-specific generative pre-trained Transformer language model for biomedical text generation and mining. BioGPT follows the Transformer language model backbone, and is pre-trained on 15M PubMed abstracts from scratch.

BiT

BiT is a simple recipe for scaling up pre-training of ResNet-like architectures (specifically, ResNetv2). The method results in significant improvements for transfer learning.

... (truncated)

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Bumps [transformers](https://github.com/huggingface/transformers) from 4.12.5 to 4.26.1.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.12.5...v4.26.1)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Feb 10, 2023
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sonarcloud bot commented Feb 10, 2023

Kudos, SonarCloud Quality Gate passed!    Quality Gate passed

Bug A 0 Bugs
Vulnerability A 0 Vulnerabilities
Security Hotspot A 0 Security Hotspots
Code Smell A 0 Code Smells

No Coverage information No Coverage information
0.0% 0.0% Duplication

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